Udemy Data Science and AI Masters 2025 From Python To Gen AI

Creation Time	July 23, 2025, 10:13 p.m.
Last Access Time	Jan. 20, 2026, 4:21 p.m.
File Size	17.8 GB
Keywords	and Masters Python From To AI Science Udemy 2025 Data Gen
Total Requests	400
Total Files	937
Magnet Link	Please wait ...
	Download (Magnet Link) Play (Watch Online)

Chapter 13-Data Engineering Basics/441 Sustainability Chatbot (GROK AI).mp4 129.2 MB
Chapter 13-Data Engineering Basics/436 Automated AI Claims Processing using Gen AI.mp4 129.1 MB
Chapter 13-Data Engineering Basics/434 ChatScholar (EdTech Project).mp4 126.4 MB
Chapter 6-Machine Learning/162 Regression Lasso & Ridge Regression (Practicals).mp4 122.3 MB
Chapter 13-Data Engineering Basics/435 Research RAG Chatbot.mp4 96.6 MB
Chapter 6-Machine Learning/187 Classification Project.mp4 96.1 MB
Chapter 13-Data Engineering Basics/437 Multi PDF RAG Chatbot built on Web Scraped Data.mp4 95.0 MB
Chapter 6-Machine Learning/212 Feature Engineering Principal Component Analysis.mp4 94.6 MB
Chapter 2-Python for Data Science/22 Pandas.mp4 93.0 MB
Chapter 10-Transformers and Generative AI/396 RAGs Practical Use Cases.mp4 92.4 MB
Chapter 9-Natural Language Processing/354 Neural Networks LSTMs Part 8 (Practicals #1).mp4 91.5 MB
Chapter 6-Machine Learning/151 Regression Regression Metrics.mp4 89.6 MB
Chapter 5-SQL for Data Science/128 Data Import Export.mp4 86.5 MB
Chapter 6-Machine Learning/191 Ensemble Bagging (Practicals #1).mp4 84.7 MB
Chapter 10-Transformers and Generative AI/405 Vector Database (Practicals).mp4 83.6 MB
Chapter 10-Transformers and Generative AI/365 Introduction to Transformers.mp4 82.5 MB
Chapter 4-Exploratory Data Analysis/106 Analysis Practicals.mp4 82.4 MB
Chapter 2-Python for Data Science/17 Map Reduce Filter.mp4 82.3 MB
Chapter 11-Generative AI (Advanced)/422 AWS Deployment (Breast Cancer Prediction).mp4 78.5 MB
Chapter 2-Python for Data Science/21 NumPy.mp4 77.7 MB
Chapter 5-SQL for Data Science/126 Table Basics - DMLs.mp4 77.0 MB
Chapter 2-Python for Data Science/11 Lists.mp4 75.7 MB
Chapter 6-Machine Learning/184 Classification Practicals so far.mp4 75.6 MB
Chapter 10-Transformers and Generative AI/366 Self Attention.mp4 74.4 MB
Chapter 9-Natural Language Processing/362 Neural Networks Bi-Directional LSTMs.mp4 74.1 MB
Chapter 2-Python for Data Science/24 Matplotlib.mp4 72.4 MB
Chapter 6-Machine Learning/158 Regression Polynomial Regression (Practicals).mp4 72.1 MB
Chapter 10-Transformers and Generative AI/413 Model Overview LLM APIs.mp4 72.1 MB
Chapter 6-Machine Learning/155 Regression Linear Regression (Practicals).mp4 71.4 MB
Chapter 9-Natural Language Processing/358 Neural Networks GRU Part 2.mp4 70.9 MB
Chapter 10-Transformers and Generative AI/412 RAG Systems (Practicals) Ollama.mp4 70.7 MB
Chapter 5-SQL for Data Science/127 Joins.mp4 70.7 MB
Chapter 5-SQL for Data Science/135 Stored Procedures.mp4 69.5 MB
Chapter 2-Python for Data Science/12 Tuples.mp4 67.9 MB
Chapter 13-Data Engineering Basics/440 AI Career Coach Part 3.mp4 67.9 MB
Chapter 6-Machine Learning/199 Ensemble Project.mp4 67.6 MB
Chapter 6-Machine Learning/188 Ensemble Introduction to Ensemble Learning.mp4 66.7 MB
Chapter 2-Python for Data Science/16 Functions.mp4 64.0 MB
Chapter 8-Deep Learning and Neural Networks/313 Pre-Trained Models (Practicals).mp4 63.6 MB
Chapter 6-Machine Learning/208 Feature Engineering RFE (Practicals).mp4 63.4 MB
Chapter 5-SQL for Data Science/124 Table Basics - DDLs.mp4 62.2 MB
Chapter 8-Deep Learning and Neural Networks/312 Pre-Trained Models.mp4 61.6 MB
Chapter 10-Transformers and Generative AI/409 Model Testing Ollama.mp4 61.0 MB
Chapter 11-Generative AI (Advanced)/420 Flask App (Breast Cancer Prediction).mp4 60.9 MB
Chapter 6-Machine Learning/221 Hyper Parameter Optimization Manual HPO (Practicals).mp4 60.4 MB
Chapter 5-SQL for Data Science/136 Windows Function.mp4 60.4 MB
Chapter 2-Python for Data Science/10 Datatypes Operators.mp4 59.3 MB
Chapter 4-Exploratory Data Analysis/111 Feature Encoding (Practicals).mp4 58.5 MB
Chapter 9-Natural Language Processing/334 NLP Basics TF-IDF (Practicals).mp4 58.2 MB
Chapter 8-Deep Learning and Neural Networks/304 Convolutional Neural Networks Practicals.mp4 58.1 MB
Chapter 6-Machine Learning/177 Classification Decision Tree (Visualizing).mp4 57.1 MB
Chapter 6-Machine Learning/194 Ensemble Ada Boost.mp4 57.1 MB
Chapter 2-Python for Data Science/20 OOPs.mp4 56.3 MB
Chapter 6-Machine Learning/201 Clustering kMeans Clustering.mp4 56.1 MB
Chapter 6-Machine Learning/192 Ensemble Bagging (Practicals #2).mp4 55.9 MB
Chapter 5-SQL for Data Science/137 SQL Python connectivity.mp4 54.8 MB
Chapter 6-Machine Learning/202 Clustering kMeans Clustering (Practicals).mp4 54.3 MB
Chapter 2-Python for Data Science/9 Variables & Keywords.mp4 54.1 MB
Chapter 10-Transformers and Generative AI/364 Transformer Types.mp4 53.7 MB
Chapter 6-Machine Learning/175 Classification Decision Tree (gini based).mp4 53.0 MB
Chapter 9-Natural Language Processing/342 Word Embeddings Word2Vec CBOW.mp4 52.8 MB
Chapter 6-Machine Learning/209 Feature Engineering Successive Feature Selection.mp4 52.8 MB
Chapter 2-Python for Data Science/18 File Handling.mp4 52.5 MB
Chapter 4-Exploratory Data Analysis/113 Data Exploration.mp4 52.5 MB
Chapter 2-Python for Data Science/15 Loops & Iterations.mp4 52.4 MB
Chapter 2-Python for Data Science/25 Seaborn.mp4 52.1 MB
Chapter 10-Transformers and Generative AI/391 RAGs What and Why.mp4 51.9 MB
Chapter 10-Transformers and Generative AI/394 RAGs Architecture Explanation.mp4 51.8 MB
Chapter 9-Natural Language Processing/332 NLP Basics Bag of Words (Practicals).mp4 51.7 MB
Chapter 6-Machine Learning/183 Classification Logistic Regression.mp4 51.7 MB
Chapter 9-Natural Language Processing/352 Neural Networks LSTMs Part 6 (inpute gate).mp4 51.3 MB
Chapter 10-Transformers and Generative AI/408 Getting Started Ollama.mp4 51.0 MB
Chapter 10-Transformers and Generative AI/387 LLM Basics Prompt Engineering.mp4 50.1 MB
Chapter 6-Machine Learning/198 Ensemble Xtreme Gradient Boosting (XGB).mp4 50.0 MB
Chapter 9-Natural Language Processing/346 Word Embeddings Cosine Similarity.mp4 50.0 MB
Chapter 6-Machine Learning/222 Hyper Parameter Optimization RandomizedSearchCV (Practicals).mp4 49.8 MB
Chapter 6-Machine Learning/140 Types of ML.mp4 49.8 MB
Chapter 6-Machine Learning/144 Pre-Requisites Train-Test Split.mp4 49.6 MB
Chapter 9-Natural Language Processing/344 Word Embeddings GloVe.mp4 49.3 MB
Chapter 6-Machine Learning/152 Regression Regression Metrics (Practicals).mp4 48.8 MB
Chapter 8-Deep Learning and Neural Networks/306 Convolutional Neural Networks Project (X-Ray detection).mp4 48.6 MB
Chapter 10-Transformers and Generative AI/407 Model Overview Ollama.mp4 48.3 MB
Chapter 2-Python for Data Science/14 Dictionary.mp4 48.0 MB
Chapter 2-Python for Data Science/5 Let's install Python together!!.mp4 48.0 MB
Chapter 4-Exploratory Data Analysis/112 Case Study.mp4 47.7 MB
Chapter 8-Deep Learning and Neural Networks/301 Convolutional Neural Networks Architecture Explained.mp4 47.2 MB
Chapter 5-SQL for Data Science/125 Table Basics - DQLs.mp4 46.7 MB
Chapter 9-Natural Language Processing/355 Neural Networks LSTMs Part 9 (Practicals #2).mp4 46.5 MB
Chapter 6-Machine Learning/200 Clustering Introduction to Clustering.mp4 45.7 MB
Chapter 5-SQL for Data Science/130 String functions.mp4 45.7 MB
Chapter 10-Transformers and Generative AI/392 RAGs Use Cases.mp4 45.6 MB
Chapter 9-Natural Language Processing/348 Neural Networks LSTMs Part 2 (Architecture).mp4 44.4 MB
Chapter 9-Natural Language Processing/347 Neural Networks LSTMs Part 1.mp4 44.3 MB
Chapter 5-SQL for Data Science/123 Constraints in SQL.mp4 44.3 MB
Chapter 3-Business Statistics/73 Correlation.mp4 43.4 MB
Chapter 11-Generative AI (Advanced)/419 Model Building (Breast Cancer Prediction).mp4 43.4 MB
Chapter 6-Machine Learning/203 Clustering Hierarchical Clustering.mp4 43.0 MB
Chapter 8-Deep Learning and Neural Networks/294 Backpropagation & Forward Pass.mp4 42.7 MB
Chapter 8-Deep Learning and Neural Networks/297 Artificial Neural Networks Practicals.mp4 42.2 MB
Chapter 7-Time Series Analysis and Forecasting/282 Project 3 - Demand Forecasting Part 5.mp4 41.5 MB
Chapter 8-Deep Learning and Neural Networks/317 Project Pneumonia Detection from X-Ray Images.mp4 41.2 MB
Chapter 6-Machine Learning/181 Classification SVM Classifier Part 1.mp4 41.2 MB
Chapter 6-Machine Learning/180 Classification Naive Bayes Classifier.mp4 41.0 MB
Chapter 14-Generative AI Projects/444 ML Interview #2.mp4 41.0 MB
Chapter 4-Exploratory Data Analysis/116 Bivariate Analysis Part 1.mp4 40.8 MB
Chapter 5-SQL for Data Science/133 Nested Queries.mp4 40.7 MB
Chapter 8-Deep Learning and Neural Networks/302 Convolutional Neural Networks Image Augmentation.mp4 39.9 MB
Chapter 6-Machine Learning/171 Classification Practicals Part 1.mp4 39.5 MB
Chapter 10-Transformers and Generative AI/406 LSH.mp4 39.4 MB
Chapter 10-Transformers and Generative AI/378 AlBERT.mp4 39.0 MB
Chapter 6-Machine Learning/174 Classification Decision Tree (Entropy based).mp4 39.0 MB
Chapter 4-Exploratory Data Analysis/115 Univariate Analysis.mp4 38.9 MB
Chapter 9-Natural Language Processing/324 NLP Basics SCR.mp4 38.9 MB
Chapter 6-Machine Learning/172 Classification kNN Classifier (Practicals).mp4 38.8 MB
Chapter 7-Time Series Analysis and Forecasting/253 Models - ARIMA (Practicals Part 1).mp4 38.6 MB
Chapter 6-Machine Learning/204 Clustering Hierarchical Clustering (Practicals).mp4 38.3 MB
Chapter 7-Time Series Analysis and Forecasting/277 Project 2 - Stock Market Prediction Part 3.mp4 37.6 MB
Chapter 7-Time Series Analysis and Forecasting/243 Feature Scaling (Practicals).mp4 37.6 MB
Chapter 4-Exploratory Data Analysis/96 Feature Scaling (Practicals).mp4 37.6 MB
Chapter 10-Transformers and Generative AI/399 Types of Prompting.mp4 37.4 MB
Chapter 10-Transformers and Generative AI/377 DistilBERT.mp4 37.3 MB
Chapter 7-Time Series Analysis and Forecasting/239 3-Sigma Technique.mp4 37.1 MB
Chapter 4-Exploratory Data Analysis/98 Outlier Treatment (Practicals).mp4 37.1 MB
Chapter 13-Data Engineering Basics/438 AI Career Coach Part 1.mp4 37.1 MB
Chapter 5-SQL for Data Science/131 Date Time Functions.mp4 36.9 MB
Chapter 7-Time Series Analysis and Forecasting/279 Project 3 - Demand Forecasting Part 2.mp4 36.9 MB
Chapter 7-Time Series Analysis and Forecasting/266 Models - Facebook Prophet (Uni vs Multi).mp4 36.9 MB
Chapter 8-Deep Learning and Neural Networks/290 Activation Function Linear Function.mp4 36.8 MB
Chapter 6-Machine Learning/206 Feature Engineering Introduction.mp4 36.7 MB
Chapter 10-Transformers and Generative AI/370 Introduction to BERT.mp4 36.7 MB
Chapter 10-Transformers and Generative AI/389 LLM Basics Prompt Structures.mp4 36.5 MB
Chapter 6-Machine Learning/190 Ensemble Bagging vs Random Forest.mp4 36.4 MB
Chapter 9-Natural Language Processing/356 Neural Networks LSTMs Part 10 (Practicals #3).mp4 36.3 MB
Chapter 6-Machine Learning/156 Regression Multiple Linear Regression (Practicals).mp4 36.2 MB
Chapter 15-Interview Prep (New Section)/451 ML Interview #9.mp4 36.2 MB
Chapter 10-Transformers and Generative AI/411 RAG Systems Ollama.mp4 35.9 MB
Chapter 6-Machine Learning/166 Classification Confusion Matrix.mp4 35.6 MB
Chapter 10-Transformers and Generative AI/402 Vector Databases.mp4 35.4 MB
Chapter 7-Time Series Analysis and Forecasting/254 Models - ARIMA (Practicals Part 2).mp4 35.0 MB
Chapter 3-Business Statistics/62 Binomial Distribution.mp4 35.0 MB
Chapter 15-Interview Prep (New Section)/455 DL Interview #3.mp4 35.0 MB
Chapter 8-Deep Learning and Neural Networks/309 Recurrent Neural Networks Vanishing Gradient & Exploding Gradient Problem.mp4 35.0 MB
Chapter 10-Transformers and Generative AI/395 RAGs Detailed Architecture Walkthrough.mp4 34.9 MB
Chapter 9-Natural Language Processing/336 NLP Basics NER (Practicals).mp4 34.8 MB
Chapter 2-Python for Data Science/13 Sets.mp4 34.7 MB
Chapter 5-SQL for Data Science/134 Views.mp4 34.6 MB
Chapter 9-Natural Language Processing/335 NLP Basics Part of Speech Tagging and Named Entity Recognition.mp4 34.6 MB
Chapter 8-Deep Learning and Neural Networks/298 Artificial Neural Networks Hyper Parameter Optimization.mp4 34.4 MB
Chapter 11-Generative AI (Advanced)/418 Flask Basic App.mp4 34.4 MB
Chapter 6-Machine Learning/182 Classification SVM Classifier Part 2.mp4 34.2 MB
Chapter 11-Generative AI (Advanced)/417 Introduction to Flask.mp4 34.1 MB
Chapter 9-Natural Language Processing/351 Neural Networks LSTMs Part 5 (forget gate).mp4 34.1 MB
Chapter 6-Machine Learning/148 Pre-Requisites Feature Encoding.mp4 33.9 MB
Chapter 7-Time Series Analysis and Forecasting/244 Feature Encoding.mp4 33.9 MB
Chapter 4-Exploratory Data Analysis/110 Feature Encoding (Theory).mp4 33.9 MB
Chapter 8-Deep Learning and Neural Networks/300 Convolutional Neural Networks Steps in CNN.mp4 33.5 MB
Chapter 9-Natural Language Processing/333 NLP Basics TF-IDF.mp4 33.4 MB
Chapter 6-Machine Learning/165 Classification Log Loss.mp4 33.0 MB
Chapter 9-Natural Language Processing/361 Neural Networks GRU Part 5 (Practicals).mp4 32.7 MB
Chapter 5-SQL for Data Science/129 Aggregation Functions.mp4 32.7 MB
Chapter 6-Machine Learning/160 Regression Ridge Regression.mp4 32.7 MB
Chapter 10-Transformers and Generative AI/415 RAG Systems with xAI (Practicals) LLM APIs.mp4 32.6 MB
Chapter 9-Natural Language Processing/345 Word Embeddings FastText.mp4 32.6 MB
Chapter 15-Interview Prep (New Section)/472 Gen AI Interview #10.mp4 32.2 MB
Chapter 15-Interview Prep (New Section)/481 Gen AI Interview #10.mp4 32.2 MB
Chapter 10-Transformers and Generative AI/381 GPT Masked Multi Head Attention.mp4 32.2 MB
Chapter 7-Time Series Analysis and Forecasting/237 Handle Missing Value (Practicals).mp4 32.0 MB
Chapter 14-Generative AI Projects/443 ML Interview #1.mp4 32.0 MB
Chapter 13-Data Engineering Basics/439 AI Career Coach Part 2.mp4 31.9 MB
Chapter 4-Exploratory Data Analysis/92 Handle Missing Values (Practicals).mp4 31.9 MB
Chapter 6-Machine Learning/143 Pre-Requisites Features.mp4 31.9 MB
Chapter 6-Machine Learning/189 Ensemble Bagging.mp4 31.5 MB
Chapter 15-Interview Prep (New Section)/453 DL Interview #1.mp4 31.4 MB
Chapter 3-Business Statistics/72 Covariance.mp4 31.2 MB
Chapter 6-Machine Learning/205 Clustering Mean Shift Clustering.mp4 31.1 MB
Chapter 15-Interview Prep (New Section)/465 Gen AI Interview #3.mp4 31.0 MB
Chapter 15-Interview Prep (New Section)/474 Gen AI Interview #3.mp4 31.0 MB
Chapter 6-Machine Learning/186 Classification Issues in Classification (Part 2).mp4 31.0 MB
Chapter 6-Machine Learning/220 Hyper Parameter Optimization GridSearch vs RandomizedSearch.mp4 30.7 MB
Chapter 8-Deep Learning and Neural Networks/311 Recurrent Neural Networks LSTMs (Practicals).mp4 30.6 MB
Chapter 10-Transformers and Generative AI/398 Introduction to Prompt Engineering.mp4 30.2 MB
Chapter 7-Time Series Analysis and Forecasting/263 Models - Facebook Prophet (Part 2).mp4 30.2 MB
Chapter 7-Time Series Analysis and Forecasting/261 Models - Final Model Building.mp4 30.1 MB
Chapter 4-Exploratory Data Analysis/93 Feature Scaling (Theory).mp4 30.1 MB
Chapter 6-Machine Learning/145 Pre-Requisites Feature Scaling.mp4 30.1 MB
Chapter 7-Time Series Analysis and Forecasting/240 Feature Scaling.mp4 30.1 MB
Chapter 6-Machine Learning/169 Classification kNN Classifier.mp4 30.0 MB
Chapter 10-Transformers and Generative AI/385 LLM Basics Context Window.mp4 29.9 MB
Chapter 9-Natural Language Processing/343 Word Embeddings Word2Vec Skip Grams.mp4 29.8 MB
Chapter 10-Transformers and Generative AI/386 LLM Basics Prompt.mp4 29.8 MB
Chapter 6-Machine Learning/154 Regression Multiple Linear Regression.mp4 29.7 MB
Chapter 15-Interview Prep (New Section)/470 Gen AI Interview #8.mp4 29.5 MB
Chapter 15-Interview Prep (New Section)/479 Gen AI Interview #8.mp4 29.5 MB
Chapter 4-Exploratory Data Analysis/109 Feature Binning (Practicals).mp4 29.5 MB
Chapter 7-Time Series Analysis and Forecasting/245 Feature Encoding (Practicals).mp4 29.3 MB
Chapter 6-Machine Learning/149 Pre-Requisites Feature Encoding (Practicals).mp4 29.3 MB
Chapter 7-Time Series Analysis and Forecasting/225 Time Series vs Regression.mp4 29.3 MB
Chapter 10-Transformers and Generative AI/404 How Vector Databases works.mp4 29.2 MB
Chapter 5-SQL for Data Science/128 Data Import Export .mp3 29.1 MB
Chapter 3-Business Statistics/64 Normal Distribution Part 1.mp4 28.8 MB
Chapter 10-Transformers and Generative AI/397 LangChain.mp4 28.7 MB
Chapter 14-Generative AI Projects/448 ML Interview #6.mp4 28.7 MB
Chapter 15-Interview Prep (New Section)/471 Gen AI Interview #9.mp4 28.7 MB
Chapter 15-Interview Prep (New Section)/480 Gen AI Interview #9.mp4 28.7 MB
Chapter 6-Machine Learning/213 Feature Engineering Principal Component Analysis (Practicals).mp4 28.5 MB
Chapter 6-Machine Learning/153 Regression Simple Linear Regression.mp4 28.4 MB
Chapter 6-Machine Learning/170 Classification kNN Classifier Example.mp4 28.1 MB
Chapter 7-Time Series Analysis and Forecasting/258 Models - Best Transformation.mp4 28.0 MB
Chapter 8-Deep Learning and Neural Networks/293 Activation Function ReLu Function.mp4 28.0 MB
Chapter 15-Interview Prep (New Section)/458 DL Interview #6.mp4 28.0 MB
Chapter 15-Interview Prep (New Section)/459 DL Interview #7.mp4 27.9 MB
Chapter 14-Generative AI Projects/445 ML Interview #3.mp4 27.8 MB
Chapter 6-Machine Learning/196 Ensemble CF vs LF.mp4 27.8 MB
Chapter 7-Time Series Analysis and Forecasting/280 Project 3 - Demand Forecasting Part 3.mp4 27.8 MB
Chapter 4-Exploratory Data Analysis/106 Analysis Practicals.mp3 27.7 MB
Chapter 7-Time Series Analysis and Forecasting/255 Models - ARIMA (Final).mp4 27.6 MB
Chapter 14-Generative AI Projects/446 ML Interview #4.mp4 27.5 MB
Chapter 6-Machine Learning/218 Hyper Parameter Optimization Basics.mp4 27.5 MB
Chapter 9-Natural Language Processing/325 NLP Basics Handling Contractions.mp4 27.4 MB
Chapter 15-Interview Prep (New Section)/468 Gen AI Interview #6.mp4 27.2 MB
Chapter 15-Interview Prep (New Section)/477 Gen AI Interview #6.mp4 27.2 MB
Chapter 14-Generative AI Projects/450 ML Interview #8.mp4 27.2 MB
Chapter 3-Business Statistics/50 Variance Standard Deviation.mp4 27.1 MB
Chapter 9-Natural Language Processing/341 Word Embeddings Word2Vec - Check X Features.mp4 26.9 MB
Chapter 15-Interview Prep (New Section)/452 ML Interview #10.mp4 26.9 MB
Chapter 8-Deep Learning and Neural Networks/314 Pre-Trained Models VGG16.mp4 26.9 MB
Chapter 15-Interview Prep (New Section)/460 DL Interview #8.mp4 26.8 MB
Chapter 9-Natural Language Processing/331 NLP Basics Bag of Words.mp4 26.7 MB
Chapter 5-SQL for Data Science/122 Introduction to SQL.mp4 26.6 MB
Chapter 9-Natural Language Processing/360 Neural Networks GRU Part 4 (update gate).mp4 26.6 MB
Chapter 11-Generative AI (Advanced)/421 AWS.mp4 26.5 MB
Chapter 6-Machine Learning/214 Feature Engineering Linear Discriminant Analysis.mp4 26.5 MB
Chapter 4-Exploratory Data Analysis/114 Data Cleaning.mp4 26.4 MB
Chapter 7-Time Series Analysis and Forecasting/250 Models - MA Theory.mp4 26.3 MB
Chapter 2-Python for Data Science/19 Control Structures.mp4 26.3 MB
Chapter 10-Transformers and Generative AI/383 GPT Training.mp4 26.2 MB
Chapter 2-Python for Data Science/21 NumPy.mp3 26.2 MB
Chapter 9-Natural Language Processing/353 Neural Networks LSTMs Part 7 (output gate).mp4 25.8 MB
Chapter 10-Transformers and Generative AI/376 RoBERTa.mp4 25.8 MB
Chapter 3-Business Statistics/80 Z Test.mp4 25.7 MB
Chapter 6-Machine Learning/215 Feature Engineering Linear Discriminant Analysis (Practicals).mp4 25.6 MB
Chapter 7-Time Series Analysis and Forecasting/238 Outlier Treatment.mp4 25.5 MB
Chapter 4-Exploratory Data Analysis/97 Outlier Treatment (Theory).mp4 25.5 MB
Chapter 8-Deep Learning and Neural Networks/303 Convolutional Neural Networks Batch size vs iterations vs epochs.mp4 25.4 MB
Chapter 5-SQL for Data Science/132 Regular Expressions.mp4 25.3 MB
Chapter 6-Machine Learning/167 Classification AUC ROC Curve.mp4 25.2 MB
Chapter 6-Machine Learning/173 Classification Decision Tree.mp4 25.2 MB
Chapter 9-Natural Language Processing/321 Intro to NLP Key Challenges.mp4 25.1 MB
Chapter 10-Transformers and Generative AI/374 BERT Input Embeddings.mp4 25.0 MB
Chapter 7-Time Series Analysis and Forecasting/228 Components of Time Series.mp4 24.9 MB
Chapter 4-Exploratory Data Analysis/102 Univariate Analysis.mp4 24.9 MB
Chapter 10-Transformers and Generative AI/367 Encoder Architecture.mp4 24.9 MB
Chapter 3-Business Statistics/82 ANOVA.mp4 24.8 MB
Chapter 6-Machine Learning/161 Regression Lasso Regression.mp4 24.8 MB
Chapter 7-Time Series Analysis and Forecasting/251 Models - ACFPACF Plots.mp4 24.7 MB
Chapter 15-Interview Prep (New Section)/462 DL Interview #10.mp4 24.5 MB
Chapter 3-Business Statistics/81 Chi Square Test.mp4 24.4 MB
Chapter 6-Machine Learning/157 Regression Polynomial Regression.mp4 24.3 MB
Chapter 7-Time Series Analysis and Forecasting/283 Project 3 - Demand Forecasting Part 6.mp4 24.3 MB
Chapter 9-Natural Language Processing/340 Word Embeddings Word2Vec Intuition.mp4 24.3 MB
Chapter 7-Time Series Analysis and Forecasting/259 Models - Grid Search (Part 1).mp4 24.0 MB
Chapter 8-Deep Learning and Neural Networks/287 What is a Neuron.mp4 23.9 MB
Chapter 14-Generative AI Projects/449 ML Interview #7.mp4 23.6 MB
Chapter 9-Natural Language Processing/359 Neural Networks GRU Part 3 (reset gate).mp4 23.5 MB
Chapter 4-Exploratory Data Analysis/117 Bivariate Analysis Part 2.mp4 23.5 MB
Chapter 10-Transformers and Generative AI/373 BERT Pre Tuning (Masked LM).mp4 23.5 MB
Chapter 3-Business Statistics/31 Qualitative Data.mp4 23.3 MB
Chapter 6-Machine Learning/193 Ensemble Boosting.mp4 23.3 MB
Chapter 9-Natural Language Processing/328 NLP Basics nGrams.mp4 23.3 MB
Chapter 15-Interview Prep (New Section)/467 Gen AI Interview #5.mp4 23.1 MB
Chapter 15-Interview Prep (New Section)/476 Gen AI Interview #5.mp4 23.1 MB
Chapter 6-Machine Learning/223 Hyper Parameter Optimization GridSearchCV (Practicals).mp4 22.7 MB
Chapter 3-Business Statistics/68 Calculating Probability with Z-score for Normal Distribution Part 1.mp4 22.5 MB
Chapter 3-Business Statistics/40 Population Sampling.mp4 22.4 MB
Chapter 7-Time Series Analysis and Forecasting/249 Models - AR Theory.mp4 22.4 MB
Chapter 8-Deep Learning and Neural Networks/305 Convolutional Neural Networks Model Summary & Parameters.mp4 22.4 MB
Chapter 6-Machine Learning/185 Classification Issues in Classification (Part 1).mp4 22.4 MB
Chapter 3-Business Statistics/29 Descriptive Stats.mp4 22.3 MB
Chapter 15-Interview Prep (New Section)/457 DL Interview #5.mp4 22.3 MB
Chapter 7-Time Series Analysis and Forecasting/231 AdditiveMultiplicative Decomposition.mp4 22.3 MB
Chapter 15-Interview Prep (New Section)/466 Gen AI Interview #4.mp4 22.3 MB
Chapter 15-Interview Prep (New Section)/475 Gen AI Interview #4.mp4 22.3 MB
Chapter 3-Business Statistics/38 Probability Sampling.mp4 22.1 MB
Chapter 10-Transformers and Generative AI/403 Vector Database vs Vector Index.mp4 22.1 MB
Chapter 8-Deep Learning and Neural Networks/299 Convolutional Neural Networks What is CNN.mp4 22.1 MB
Chapter 6-Machine Learning/176 Classification Decision Tree (Practicals).mp4 21.9 MB
Chapter 15-Interview Prep (New Section)/469 Gen AI Interview #7.mp4 21.7 MB
Chapter 15-Interview Prep (New Section)/478 Gen AI Interview #7.mp4 21.7 MB
Chapter 3-Business Statistics/57 Conditional Probability.mp4 21.6 MB
Chapter 7-Time Series Analysis and Forecasting/262 Models - Facebook Prophet (Part 1).mp4 21.6 MB
Chapter 3-Business Statistics/61 Uniform Distribution.mp4 21.5 MB
Chapter 10-Transformers and Generative AI/410 Python Implementation Ollama.mp4 21.4 MB
Chapter 6-Machine Learning/168 Classification Classification Report.mp4 21.1 MB
Chapter 15-Interview Prep (New Section)/454 DL Interview #2.mp4 20.8 MB
Chapter 9-Natural Language Processing/339 Word Embeddings Pre-Trained Word2Vec.mp4 20.6 MB
Chapter 3-Business Statistics/79 T Test.mp4 20.6 MB
Chapter 10-Transformers and Generative AI/409 Model Testing Ollama .mp3 20.5 MB
Chapter 8-Deep Learning and Neural Networks/295 Gradient Descent.mp4 20.5 MB
Chapter 5-SQL for Data Science/121 Data Architecture - File server vs client server.mp4 20.2 MB
Chapter 10-Transformers and Generative AI/400 Few Shot Limitations.mp4 20.0 MB
Chapter 4-Exploratory Data Analysis/108 Feature Binning (Theory).mp4 20.0 MB
Chapter 3-Business Statistics/54 Addition Rule.mp4 19.9 MB
Chapter 15-Interview Prep (New Section)/456 DL Interview #4.mp4 19.8 MB
Chapter 11-Generative AI (Advanced)/424 What is ETL.mp4 19.7 MB
Chapter 10-Transformers and Generative AI/382 GPT Blocks.mp4 19.5 MB
Chapter 3-Business Statistics/53 Probability.mp4 19.5 MB
Chapter 6-Machine Learning/159 Regression Bias Variance Tradeoff.mp4 19.5 MB
Chapter 3-Business Statistics/45 Median.mp4 19.4 MB
Chapter 9-Natural Language Processing/327 NLP Basics Stop Word Removal.mp4 19.4 MB
Chapter 10-Transformers and Generative AI/388 LLM Basics Prompt Tuning.mp4 19.3 MB
Chapter 8-Deep Learning and Neural Networks/291 Activation Function Sigmoid Function.mp4 19.3 MB
Chapter 7-Time Series Analysis and Forecasting/274 Project 1 - Energy Forecasting Part 3.mp4 19.3 MB
Chapter 7-Time Series Analysis and Forecasting/233 Testing TS Stationarity.mp4 19.2 MB
Chapter 3-Business Statistics/75 Hypothesis Testing.mp4 19.0 MB
Chapter 9-Natural Language Processing/319 Intro to NLP Introduction.mp4 18.9 MB
Chapter 10-Transformers and Generative AI/401 Chain of Thoughts Prompting.mp4 18.8 MB
Chapter 3-Business Statistics/83 Correlation Test (Practicals).mp4 18.8 MB
Chapter 8-Deep Learning and Neural Networks/307 Recurrent Neural Networks Basics.mp4 18.7 MB
Chapter 8-Deep Learning and Neural Networks/289 Activation Function Step Function.mp4 18.5 MB
Chapter 3-Business Statistics/65 Normal Distribution Part 2.mp4 18.4 MB
Chapter 2-Python for Data Science/9 Variables & Keywords.mp3 18.2 MB
Chapter 6-Machine Learning/202 Clustering kMeans Clustering (Practicals) .mp3 18.2 MB
Chapter 14-Generative AI Projects/447 ML Interview #5.mp4 18.1 MB
Chapter 10-Transformers and Generative AI/364 Transformer Types .mp3 18.1 MB
Chapter 7-Time Series Analysis and Forecasting/230 Decomposition (Practicals).mp4 18.0 MB
Chapter 7-Time Series Analysis and Forecasting/265 Models - Multi Variate Time Series Analysis.mp4 17.9 MB
Chapter 6-Machine Learning/209 Feature Engineering Successive Feature Selection .mp3 17.9 MB
Chapter 9-Natural Language Processing/347 Neural Networks LSTMs Part 1 .mp3 17.8 MB
Chapter 2-Python for Data Science/18 File Handling.mp3 17.7 MB
Chapter 2-Python for Data Science/15 Loops & Iterations.mp3 17.7 MB
Chapter 9-Natural Language Processing/342 Word Embeddings Word2Vec CBOW .mp3 17.6 MB
Chapter 2-Python for Data Science/25 Seaborn.mp3 17.6 MB
Chapter 7-Time Series Analysis and Forecasting/273 Project 1 - Energy Forecasting Part 2.mp4 17.6 MB
Chapter 6-Machine Learning/216 Feature Engineering kPCA & QDA.mp4 17.5 MB
Chapter 10-Transformers and Generative AI/394 RAGs Architecture Explanation .mp3 17.5 MB
Chapter 7-Time Series Analysis and Forecasting/236 Handle Missing Value.mp4 17.5 MB
Chapter 4-Exploratory Data Analysis/91 Handle Missing Values (Theory).mp4 17.5 MB
Chapter 10-Transformers and Generative AI/391 RAGs What and Why.mp3 17.5 MB
Chapter 6-Machine Learning/183 Classification Logistic Regression .mp3 17.4 MB
Chapter 9-Natural Language Processing/332 NLP Basics Bag of Words (Practicals) .mp3 17.4 MB
Chapter 8-Deep Learning and Neural Networks/316 Transfer Learning.mp4 17.3 MB
Chapter 11-Generative AI (Advanced)/416 Deployment Basics.mp4 17.2 MB
Chapter 10-Transformers and Generative AI/375 ARLM vs AELM.mp4 17.2 MB
Chapter 9-Natural Language Processing/350 Neural Networks LSTMs Part 4 (Pointwise Operations).mp4 17.2 MB
Chapter 10-Transformers and Generative AI/408 Getting Started Ollama .mp3 17.2 MB
Chapter 7-Time Series Analysis and Forecasting/248 Models - ARIMA Part 2.mp4 17.1 MB
Chapter 6-Machine Learning/198 Ensemble Xtreme Gradient Boosting (XGB) .mp3 17.1 MB
Chapter 6-Machine Learning/211 Feature Engineering Chi-Square (Practicals).mp4 17.0 MB
Chapter 9-Natural Language Processing/337 Word Embeddings Word2Vec Introduction.mp4 17.0 MB
Chapter 9-Natural Language Processing/352 Neural Networks LSTMs Part 6 (inpute gate) .mp3 16.9 MB
Chapter 2-Python for Data Science/23 Data Visualization.mp4 16.9 MB
Chapter 10-Transformers and Generative AI/387 LLM Basics Prompt Engineering .mp3 16.9 MB
Chapter 9-Natural Language Processing/346 Word Embeddings Cosine Similarity .mp3 16.8 MB
Chapter 6-Machine Learning/222 Hyper Parameter Optimization RandomizedSearchCV (Practicals) .mp3 16.8 MB
Chapter 6-Machine Learning/152 Regression Regression Metrics (Practicals).mp3 16.8 MB
Chapter 9-Natural Language Processing/320 Intro to NLP Introduction continued.mp4 16.8 MB
Chapter 6-Machine Learning/140 Types of ML.mp3 16.8 MB
Chapter 6-Machine Learning/219 Hyper Parameter Optimization Manual HPO.mp4 16.7 MB
Chapter 7-Time Series Analysis and Forecasting/264 Models - Facebook Prophet (Part 3).mp4 16.7 MB
Chapter 9-Natural Language Processing/322 Intro to NLP Linguistics.mp4 16.6 MB
Chapter 6-Machine Learning/163 Classification Introduction to Classification.mp4 16.6 MB
Chapter 9-Natural Language Processing/344 Word Embeddings GloVe .mp3 16.6 MB
Chapter 6-Machine Learning/144 Pre-Requisites Train-Test Split.mp3 16.6 MB
Chapter 6-Machine Learning/210 Feature Engineering Chi-Square.mp4 16.5 MB
Chapter 15-Interview Prep (New Section)/464 Gen AI Interview #2.mp4 16.5 MB
Chapter 15-Interview Prep (New Section)/473 Gen AI Interview #2.mp4 16.5 MB
Chapter 8-Deep Learning and Neural Networks/306 Convolutional Neural Networks Project (X-Ray detection).mp3 16.4 MB
Chapter 9-Natural Language Processing/326 NLP Basics Tokenization.mp4 16.3 MB
Chapter 10-Transformers and Generative AI/407 Model Overview Ollama .mp3 16.3 MB
Chapter 8-Deep Learning and Neural Networks/286 Understanding Deep Learning.mp4 16.2 MB
Chapter 2-Python for Data Science/14 Dictionary.mp3 16.2 MB
Chapter 6-Machine Learning/178 Classification Random Forest Classifier.mp4 16.2 MB
Chapter 2-Python for Data Science/5 Let s install Python together.mp3 16.2 MB
Chapter 4-Exploratory Data Analysis/118 EDA Report.mp4 16.1 MB
Chapter 8-Deep Learning and Neural Networks/310 Recurrent Neural Networks LSTMs.mp4 16.1 MB
Chapter 8-Deep Learning and Neural Networks/301 Convolutional Neural Networks Architecture Explained .mp3 15.9 MB
Chapter 9-Natural Language Processing/355 Neural Networks LSTMs Part 9 (Practicals 2) .mp3 15.9 MB
Chapter 3-Business Statistics/27 Introduction.mp4 15.9 MB
Chapter 5-SQL for Data Science/125 Table Basics - DQLs .mp3 15.7 MB
Chapter 6-Machine Learning/150 Regression Introduction to Regression Models.mp4 15.7 MB
Chapter 10-Transformers and Generative AI/379 Introduction to GPT (Decoder Only).mp4 15.7 MB
Chapter 10-Transformers and Generative AI/393 RAGs Paper Explanation.mp4 15.6 MB
Chapter 3-Business Statistics/78 Types of Test.mp4 15.5 MB
Chapter 6-Machine Learning/217 Feature Engineering kPCA & QDA (Practicals).mp4 15.5 MB
Chapter 8-Deep Learning and Neural Networks/315 Pre-Trained Models MobileNet.mp4 15.5 MB
Chapter 5-SQL for Data Science/130 String functions.mp3 15.4 MB
Chapter 10-Transformers and Generative AI/392 RAGs Use Cases .mp3 15.3 MB
Chapter 9-Natural Language Processing/349 Neural Networks LSTMs Part 3 (Deep Dive).mp4 15.3 MB
Chapter 15-Interview Prep (New Section)/463 Gen AI Interview #1.mp4 15.3 MB
Chapter 6-Machine Learning/200 Clustering Introduction to Clustering.mp3 15.2 MB
Chapter 7-Time Series Analysis and Forecasting/232 Stationarity.mp4 15.1 MB
Chapter 10-Transformers and Generative AI/368 Contextual Embeddings.mp4 15.0 MB
Chapter 9-Natural Language Processing/348 Neural Networks LSTMs Part 2 (Architecture) .mp3 14.9 MB
Chapter 12-ML DL Deployment/429 Why do we need Staging.mp4 14.9 MB
Chapter 5-SQL for Data Science/123 Constraints in SQL .mp3 14.9 MB
Chapter 10-Transformers and Generative AI/369 Decoder Architecture.mp4 14.8 MB
Chapter 3-Business Statistics/73 Correlation .mp3 14.8 MB
Chapter 11-Generative AI (Advanced)/419 Model Building .mp3 14.6 MB
Chapter 6-Machine Learning/189 Ensemble Bagging .mp3 14.6 MB
Chapter 6-Machine Learning/165 Classification Log Loss .mp3 14.6 MB
Chapter 3-Business Statistics/39 Non probability sampling.mp4 14.5 MB
Chapter 6-Machine Learning/203 Clustering Hierarchical Clustering .mp3 14.5 MB
Chapter 6-Machine Learning/153 Regression Simple Linear Regression .mp3 14.4 MB
Chapter 8-Deep Learning and Neural Networks/294 Backpropagation & Forward Pass .mp3 14.4 MB
Chapter 10-Transformers and Generative AI/Additional_Files/Power+BI+Ebook.pdf 14.4 MB
Chapter 4-Exploratory Data Analysis/103 Bivariate Analysis.mp4 14.3 MB
Chapter 3-Business Statistics/44 Mean.mp4 14.3 MB
Chapter 3-Business Statistics/37 Cluster Random Sampling.mp4 14.2 MB
Chapter 8-Deep Learning and Neural Networks/288 Activation Functions.mp4 14.2 MB
Chapter 3-Business Statistics/41 Why n-1 and not n.mp4 14.2 MB
Chapter 8-Deep Learning and Neural Networks/297 Artificial Neural Networks Practicals .mp3 14.1 MB
Chapter 2-Python for Data Science/7 Let's leverage chatGPT for help!!.mp4 14.1 MB
Chapter 7-Time Series Analysis and Forecasting/282 Project 3 - Demand Forecasting Part 5 .mp3 14.0 MB
Chapter 8-Deep Learning and Neural Networks/317 Project Pneumonia Detection from X-Ray Images .mp3 14.0 MB
Chapter 4-Exploratory Data Analysis/86 DA,DS Processes.mp4 13.9 MB
Chapter 6-Machine Learning/179 Classification Random Forest Classifier (Practicals).mp4 13.9 MB
Chapter 14-Generative AI Projects/444 ML Interview 2 .mp3 13.8 MB
Chapter 6-Machine Learning/181 Classification SVM Classifier Part 1.mp3 13.7 MB
Chapter 6-Machine Learning/207 Feature Engineering RFE and SFS.mp4 13.7 MB
Chapter 5-SQL for Data Science/133 Nested Queries .mp3 13.7 MB
Chapter 3-Business Statistics/59 Bayes Theorem 2.mp4 13.6 MB
Chapter 6-Machine Learning/180 Classification Naive Bayes Classifier .mp3 13.5 MB
Chapter 2-Python for Data Science/8 Introduction to Python.mp4 13.5 MB
Chapter 8-Deep Learning and Neural Networks/302 Convolutional Neural Networks Image Augmentation .mp3 13.5 MB
Chapter 10-Transformers and Generative AI/414 RAG Systems with xAI LLM APIs.mp4 13.4 MB
Chapter 9-Natural Language Processing/323 NLP Basics Case Folding.mp4 13.4 MB
Chapter 7-Time Series Analysis and Forecasting/267 Introduction to Metrics.mp4 13.3 MB
Chapter 6-Machine Learning/164 Classification Types of Classification.mp4 13.3 MB
Chapter 6-Machine Learning/171 Classification Practicals Part 1 .mp3 13.3 MB
Chapter 6-Machine Learning/182 Classification SVM Classifier Part 2 .mp3 13.3 MB
Chapter 10-Transformers and Generative AI/406 LSH.mp3 13.3 MB
Chapter 6-Machine Learning/139 Introduction to ML.mp4 13.2 MB
Chapter 3-Business Statistics/66 Skewness.mp4 13.2 MB
Chapter 4-Exploratory Data Analysis/99 Invalid Data.mp4 13.2 MB
Chapter 10-Transformers and Generative AI/378 AlBERT.mp3 13.1 MB
Chapter 4-Exploratory Data Analysis/88 Visualization.mp4 13.1 MB
Chapter 6-Machine Learning/174 Classification Decision Tree (Entropy based) .mp3 13.1 MB
Chapter 9-Natural Language Processing/324 NLP Basics SCR .mp3 13.1 MB
Chapter 6-Machine Learning/172 Classification kNN Classifier (Practicals) .mp3 13.1 MB
Chapter 6-Machine Learning/197 Ensemble Cross Entropy.mp4 13.1 MB
Chapter 3-Business Statistics/69 Calculating Probability with Z-score for Normal Distribution Part 2.mp4 13.0 MB
Chapter 7-Time Series Analysis and Forecasting/253 Models - ARIMA (Practicals Part 1) .mp3 13.0 MB
Chapter 6-Machine Learning/204 Clustering Hierarchical Clustering (Practicals).mp3 12.9 MB
Chapter 10-Transformers and Generative AI/380 GPT Architecture.mp4 12.9 MB
Chapter 3-Business Statistics/46 Mode.mp4 12.8 MB
Chapter 3-Business Statistics/55 Independent Events.mp4 12.8 MB
Chapter 7-Time Series Analysis and Forecasting/275 Project 2 - Stock Market Prediction Part 1.mp4 12.8 MB
Chapter 10-Transformers and Generative AI/399 Types of Prompting .mp3 12.7 MB
Chapter 7-Time Series Analysis and Forecasting/243 Feature Scaling (Practicals) .mp3 12.7 MB
Chapter 4-Exploratory Data Analysis/96 Feature Scaling (Practicals).mp3 12.7 MB
Chapter 10-Transformers and Generative AI/377 DistilBERT.mp3 12.7 MB
Chapter 7-Time Series Analysis and Forecasting/277 Project 2 - Stock Market Prediction Part 3 .mp3 12.6 MB
Chapter 7-Time Series Analysis and Forecasting/227 Anomaly Detection.mp4 12.6 MB
Chapter 4-Exploratory Data Analysis/98 Outlier Treatment (Practicals) .mp3 12.5 MB
Chapter 7-Time Series Analysis and Forecasting/239 3-Sigma Technique.mp3 12.5 MB
Chapter 4-Exploratory Data Analysis/89 Steps involved in EDA (Data Sourcing).mp4 12.5 MB
Chapter 7-Time Series Analysis and Forecasting/251 Models - ACFPACF Plots .mp3 12.5 MB
Chapter 13-Data Engineering Basics/438 AI Career Coach Part 1 .mp3 12.5 MB
Chapter 4-Exploratory Data Analysis/107 Derived Metrics.mp4 12.5 MB
Chapter 5-SQL for Data Science/131 Date Time Functions .mp3 12.4 MB
Chapter 8-Deep Learning and Neural Networks/296 Artificial Neural Networks Intuition.mp4 12.4 MB
Chapter 10-Transformers and Generative AI/370 Introduction to BERT .mp3 12.4 MB
Chapter 7-Time Series Analysis and Forecasting/266 Models - Facebook Prophet (Uni vs Multi) .mp3 12.4 MB
Chapter 7-Time Series Analysis and Forecasting/279 Project 3 - Demand Forecasting Part 2 .mp3 12.4 MB
Chapter 8-Deep Learning and Neural Networks/290 Activation Function Linear Function .mp3 12.4 MB
Chapter 6-Machine Learning/160 Regression Ridge Regression .mp3 12.4 MB
Chapter 10-Transformers and Generative AI/389 LLM Basics Prompt Structures .mp3 12.3 MB
Chapter 10-Transformers and Generative AI/411 RAG Systems Ollama .mp3 12.3 MB
Chapter 6-Machine Learning/156 Regression Multiple Linear Regression (Practicals).mp3 12.3 MB
Chapter 6-Machine Learning/195 Ensemble Gradient Boost.mp4 12.3 MB
Chapter 6-Machine Learning/190 Ensemble Bagging vs Random Forest .mp3 12.3 MB
Chapter 9-Natural Language Processing/356 Neural Networks LSTMs Part 10 (Practicals 3) .mp3 12.3 MB
Chapter 15-Interview Prep (New Section)/451 ML Interview 9 .mp3 12.2 MB
Chapter 6-Machine Learning/206 Feature Engineering Introduction.mp3 12.1 MB
Chapter 3-Business Statistics/56 Cumulative Probability.mp4 12.1 MB
Chapter 9-Natural Language Processing/329 NLP Basics Vectorization.mp4 12.0 MB
Chapter 10-Transformers and Generative AI/402 Vector Databases.mp3 11.9 MB
Chapter 7-Time Series Analysis and Forecasting/234 Transformation.mp4 11.9 MB
Chapter 6-Machine Learning/166 Classification Confusion Matrix .mp3 11.9 MB
Chapter 3-Business Statistics/47 Measures of Dispersion.mp4 11.9 MB
Chapter 15-Interview Prep (New Section)/455 DL Interview 3 -.mp3 11.8 MB
Chapter 7-Time Series Analysis and Forecasting/254 Models - ARIMA (Practicals Part 2).mp3 11.8 MB
Chapter 12-ML DL Deployment/425 ETL Tools.mp4 11.8 MB
Chapter 3-Business Statistics/62 Binomial Distribution .mp3 11.7 MB
Chapter 9-Natural Language Processing/336 NLP Basics NER (Practicals) .mp3 11.7 MB
Chapter 9-Natural Language Processing/351 Neural Networks LSTMs Part 5 (forget gate) .mp3 11.7 MB
Chapter 2-Python for Data Science/13 Sets.mp3 11.7 MB
Chapter 10-Transformers and Generative AI/395 RAGs Detailed Architecture Walkthrough .mp3 11.7 MB
Chapter 3-Business Statistics/32 Quantitative Data.mp4 11.7 MB
Chapter 5-SQL for Data Science/134 Views .mp3 11.7 MB
Chapter 9-Natural Language Processing/335 NLP Basics Part of Speech Tagging and Named Entity Recognition .mp3 11.7 MB
Chapter 11-Generative AI (Advanced)/417 Introduction to Flask .mp3 11.6 MB
Chapter 3-Business Statistics/49 IQR.mp4 11.6 MB
Chapter 8-Deep Learning and Neural Networks/298 Artificial Neural Networks Hyper Parameter Optimization.mp3 11.6 MB
Chapter 11-Generative AI (Advanced)/418 Flask Basic App .mp3 11.6 MB
Chapter 3-Business Statistics/77 p-value.mp4 11.5 MB
Chapter 4-Exploratory Data Analysis/94 Standardization Example.mp4 11.5 MB
Chapter 7-Time Series Analysis and Forecasting/241 Feature Scaling Standardization.mp4 11.5 MB
Chapter 6-Machine Learning/146 Pre-Requisites Standardization Example.mp4 11.5 MB
Chapter 3-Business Statistics/51 Mean Deviation.mp4 11.5 MB
Chapter 4-Exploratory Data Analysis/90 Steps involved in EDA (Data Cleaning).mp4 11.4 MB
Chapter 6-Machine Learning/148 Pre-Requisites Feature Encoding.mp3 11.4 MB
Chapter 7-Time Series Analysis and Forecasting/244 Feature Encoding .mp3 11.4 MB
Chapter 4-Exploratory Data Analysis/110 Feature Encoding (Theory).mp3 11.4 MB
Chapter 8-Deep Learning and Neural Networks/300 Convolutional Neural Networks Steps in CNN .mp3 11.3 MB
Chapter 9-Natural Language Processing/333 NLP Basics TF-IDF .mp3 11.3 MB
Chapter 3-Business Statistics/74 Covariance VS Correlation.mp4 11.2 MB
Chapter 9-Natural Language Processing/361 Neural Networks GRU Part 5 (Practicals) .mp3 11.1 MB
Chapter 3-Business Statistics/72 Covariance.mp3 11.1 MB
Chapter 15-Interview Prep (New Section)/461 DL Interview #9.mp4 11.0 MB
Chapter 5-SQL for Data Science/129 Aggregation Functions .mp3 11.0 MB
Chapter 7-Time Series Analysis and Forecasting/276 Project 2 - Stock Market Prediction Part 2.mp4 11.0 MB
Chapter 9-Natural Language Processing/345 Word Embeddings FastText .mp3 11.0 MB
Chapter 10-Transformers and Generative AI/415 RAG Systems with xAI (Practicals) LLM APIs .mp3 10.9 MB
Chapter 15-Interview Prep (New Section)/472 Gen AI Interview 10 .mp3 10.9 MB
Chapter 15-Interview Prep (New Section)/481 Gen AI Interview 10 .mp3 10.9 MB
Chapter 10-Transformers and Generative AI/381 GPT Masked Multi Head Attention .mp3 10.8 MB
Chapter 14-Generative AI Projects/443 ML Interview 1.mp3 10.8 MB
Chapter 15-Interview Prep (New Section)/459 DL Interview 7 .mp3 10.8 MB
Chapter 4-Exploratory Data Analysis/105 Numerical Analysis.mp4 10.7 MB
Chapter 6-Machine Learning/143 Pre-Requisites Features.mp3 10.6 MB
Chapter 13-Data Engineering Basics/439 AI Career Coach Part 2 .mp3 10.6 MB
Chapter 4-Exploratory Data Analysis/92 Handle Missing Values (Practicals) .mp3 10.6 MB
Chapter 7-Time Series Analysis and Forecasting/237 Handle Missing Value (Practicals) .mp3 10.6 MB
Chapter 6-Machine Learning/154 Regression Multiple Linear Regression .mp3 10.6 MB
Chapter 15-Interview Prep (New Section)/453 DL Interview 1 .mp3 10.6 MB
Chapter 6-Machine Learning/205 Clustering Mean Shift Clustering .mp3 10.5 MB
Chapter 15-Interview Prep (New Section)/465 Gen AI Interview 3 .mp3 10.5 MB
Chapter 15-Interview Prep (New Section)/474 Gen AI Interview 3 .mp3 10.5 MB
Chapter 9-Natural Language Processing/343 Word Embeddings Word2Vec Skip Grams.mp3 10.4 MB
Chapter 13-Data Engineering Basics/432 Data lake vs Data Warehouse.mp4 10.4 MB
Chapter 2-Python for Data Science/6 Google Colab, what's that.mp4 10.3 MB
Chapter 10-Transformers and Generative AI/372 BERT Fine Tuning.mp4 10.3 MB
Chapter 8-Deep Learning and Neural Networks/311 Recurrent Neural Networks LSTMs (Practicals) .mp3 10.3 MB
Chapter 9-Natural Language Processing/357 Neural Networks GRU Part 1.mp4 10.3 MB
Chapter 10-Transformers and Generative AI/398 Introduction to Prompt Engineering.mp3 10.2 MB
Chapter 7-Time Series Analysis and Forecasting/263 Models - Facebook Prophet (Part 2) .mp3 10.2 MB
Chapter 7-Time Series Analysis and Forecasting/224 Introduction to TSA.mp4 10.2 MB
Chapter 6-Machine Learning/145 Pre-Requisites Feature Scaling .mp3 10.1 MB
Chapter 7-Time Series Analysis and Forecasting/240 Feature Scaling .mp3 10.1 MB
Chapter 4-Exploratory Data Analysis/93 Feature Scaling (Theory) .mp3 10.1 MB
Chapter 7-Time Series Analysis and Forecasting/261 Models - Final Model Building .mp3 10.1 MB
Chapter 6-Machine Learning/169 Classification kNN Classifier.mp3 10.1 MB
Chapter 6-Machine Learning/193 Ensemble Boosting.mp3 10.1 MB
Chapter 6-Machine Learning/186 Classification Issues in Classification (Part 2) .mp3 10.1 MB
Chapter 6-Machine Learning/220 Hyper Parameter Optimization GridSearch vs RandomizedSearch .mp3 10.1 MB
Chapter 10-Transformers and Generative AI/385 LLM Basics Context Window.mp3 10.1 MB
Chapter 15-Interview Prep (New Section)/470 Gen AI Interview 8 .mp3 9.9 MB
Chapter 15-Interview Prep (New Section)/479 Gen AI Interview 8.mp3 9.9 MB
Chapter 7-Time Series Analysis and Forecasting/257 Models - ACFPACF.mp4 9.9 MB
Chapter 10-Transformers and Generative AI/386 LLM Basics Prompt .mp3 9.9 MB
Chapter 3-Business Statistics/34 Population vs Sample.mp4 9.9 MB
Chapter 4-Exploratory Data Analysis/109 Feature Binning (Practicals).mp3 9.9 MB
Chapter 6-Machine Learning/149 Pre-Requisites Feature Encoding (Practicals) .mp3 9.9 MB
Chapter 7-Time Series Analysis and Forecasting/245 Feature Encoding (Practicals) .mp3 9.9 MB
Chapter 7-Time Series Analysis and Forecasting/235 Introduction to Pre-Processing.mp4 9.9 MB
Chapter 10-Transformers and Generative AI/404 How Vector Databases works .mp3 9.8 MB
Chapter 7-Time Series Analysis and Forecasting/225 Time Series vs Regression .mp3 9.8 MB
Chapter 8-Deep Learning and Neural Networks/292 Activation Function TanH Function.mp4 9.7 MB
Chapter 10-Transformers and Generative AI/371 Configurations of BERT.mp4 9.7 MB
Chapter 3-Business Statistics/70 Calculating Probability with Z-score for Normal Distribution Part 3.mp4 9.7 MB
Chapter 3-Business Statistics/64 Normal Distribution Part 1 .mp3 9.7 MB
Chapter 3-Business Statistics/36 Types of Sampling.mp4 9.7 MB
Chapter 14-Generative AI Projects/448 ML Interview 6 .mp3 9.7 MB
Chapter 15-Interview Prep (New Section)/471 Gen AI Interview 9 .mp3 9.7 MB
Chapter 15-Interview Prep (New Section)/480 Gen AI Interview 9 .mp3 9.7 MB
Chapter 7-Time Series Analysis and Forecasting/278 Project 3 - Demand Forecasting Part 1.mp4 9.7 MB
Chapter 10-Transformers and Generative AI/397 LangChain .mp3 9.6 MB
Chapter 6-Machine Learning/213 Feature Engineering Principal Component Analysis (Practicals).mp3 9.6 MB
Chapter 8-Deep Learning and Neural Networks/308 Recurrent Neural Networks Types of RNN.mp4 9.5 MB
Chapter 3-Business Statistics/63 Poisson Distribution.mp4 9.5 MB
Chapter 6-Machine Learning/170 Classification kNN Classifier Example .mp3 9.5 MB
Chapter 7-Time Series Analysis and Forecasting/258 Models - Best Transformation .mp3 9.4 MB
Chapter 15-Interview Prep (New Section)/458 DL Interview 6 .mp3 9.4 MB
Chapter 7-Time Series Analysis and Forecasting/256 Models - Decomposition.mp4 9.4 MB
Chapter 14-Generative AI Projects/445 ML Interview 3 .mp3 9.4 MB
Chapter 6-Machine Learning/196 Ensemble CF vs LF .mp3 9.3 MB
Chapter 5-SQL for Data Science/120 Installation.mp4 9.3 MB
Chapter 6-Machine Learning/157 Regression Polynomial Regression.mp3 9.3 MB
Chapter 7-Time Series Analysis and Forecasting/255 Models - ARIMA (Final) .mp3 9.3 MB
Chapter 14-Generative AI Projects/446 ML Interview 4 .mp3 9.3 MB
Chapter 6-Machine Learning/218 Hyper Parameter Optimization Basics .mp3 9.3 MB
Chapter 9-Natural Language Processing/341 Word Embeddings Word2Vec - Check X Features.mp3 9.2 MB
Chapter 9-Natural Language Processing/325 NLP Basics Handling Contractions .mp3 9.2 MB
Chapter 12-ML DL Deployment/426 What is Data Warehouse.mp4 9.2 MB
Chapter 15-Interview Prep (New Section)/468 Gen AI Interview 6 .mp3 9.2 MB
Chapter 15-Interview Prep (New Section)/477 Gen AI Interview 6 .mp3 9.2 MB
Chapter 6-Machine Learning/221 Hyper Parameter Optimization Manual HPO (Practicals) .mp3 9.2 MB
Chapter 6-Machine Learning/162 Regression Lasso & Ridge Regression (Practicals) .mp3 9.2 MB
Chapter 6-Machine Learning/212 Feature Engineering Principal Component Analysis .mp3 9.2 MB
Chapter 13-Data Engineering Basics/437 Multi PDF RAG Chatbot built on Web Scraped Data .mp3 9.2 MB
Chapter 6-Machine Learning/158 Regression Polynomial Regression (Practicals) .mp3 9.2 MB
Chapter 9-Natural Language Processing/354 Neural Networks LSTMs Part 8 (Practicals 1).mp3 9.2 MB
Chapter 13-Data Engineering Basics/436 Automated AI Claims Processing using Gen AI .mp3 9.2 MB
Chapter 6-Machine Learning/177 Classification Decision Tree (Visualizing).mp3 9.2 MB
Chapter 6-Machine Learning/188 Ensemble Introduction to Ensemble Learning .mp3 9.2 MB
Chapter 6-Machine Learning/155 Regression Linear Regression (Practicals).mp3 9.2 MB
Chapter 6-Machine Learning/175 Classification Decision Tree (gini based) .mp3 9.2 MB
Chapter 11-Generative AI (Advanced)/422 AWS Deployment (Breast Cancer Prediction) .mp3 9.2 MB
Chapter 8-Deep Learning and Neural Networks/304 Convolutional Neural Networks Practicals .mp3 9.2 MB
Chapter 6-Machine Learning/208 Feature Engineering RFE (Practicals) .mp3 9.2 MB
Chapter 9-Natural Language Processing/362 Neural Networks Bi-Directional LSTMs .mp3 9.2 MB
Chapter 11-Generative AI (Advanced)/420 Flask App (Breast Cancer Prediction) .mp3 9.2 MB
Chapter 6-Machine Learning/184 Classification Practicals so far .mp3 9.2 MB
Chapter 6-Machine Learning/191 Ensemble Bagging (Practicals 1) .mp3 9.2 MB
Chapter 6-Machine Learning/192 Ensemble Bagging (Practicals 2) .mp3 9.2 MB
Chapter 13-Data Engineering Basics/441 Sustainability Chatbot (GROK AI) .mp3 9.2 MB
Chapter 8-Deep Learning and Neural Networks/313 Pre-Trained Models (Practicals) .mp3 9.2 MB
Chapter 10-Transformers and Generative AI/412 RAG Systems (Practicals) Ollama .mp3 9.2 MB
Chapter 9-Natural Language Processing/334 NLP Basics TF-IDF (Practicals).mp3 9.2 MB
Chapter 6-Machine Learning/151 Regression Regression Metrics.mp3 9.2 MB
Chapter 6-Machine Learning/201 Clustering kMeans Clustering.mp3 9.2 MB
Chapter 10-Transformers and Generative AI/365 Introduction to Transformers .mp3 9.2 MB
Chapter 10-Transformers and Generative AI/405 Vector Database (Practicals).mp3 9.2 MB
Chapter 13-Data Engineering Basics/434 ChatScholar (EdTech Project).mp3 9.2 MB
Chapter 9-Natural Language Processing/358 Neural Networks GRU Part 2.mp3 9.2 MB
Chapter 10-Transformers and Generative AI/396 RAGs Practical Use Cases.mp3 9.2 MB
Chapter 5-SQL for Data Science/137 SQL Python connectivity.mp3 9.2 MB
Chapter 10-Transformers and Generative AI/413 Model Overview LLM APIs .mp3 9.2 MB
Chapter 6-Machine Learning/187 Classification Project .mp3 9.2 MB
Chapter 13-Data Engineering Basics/440 AI Career Coach Part 3 .mp3 9.2 MB
Chapter 13-Data Engineering Basics/435 Research RAG Chatbot .mp3 9.2 MB
Chapter 5-SQL for Data Science/124 Table Basics - DDLs .mp3 9.2 MB
Chapter 5-SQL for Data Science/126 Table Basics - DMLs .mp3 9.2 MB
Chapter 2-Python for Data Science/10 Datatypes Operators.mp3 9.2 MB
Chapter 6-Machine Learning/194 Ensemble Ada Boost .mp3 9.2 MB
Chapter 8-Deep Learning and Neural Networks/312 Pre-Trained Models.mp3 9.2 MB
Chapter 5-SQL for Data Science/135 Stored Procedures.mp3 9.2 MB
Chapter 2-Python for Data Science/17 Map Reduce Filter.mp3 9.2 MB
Chapter 5-SQL for Data Science/136 Windows Function.mp3 9.2 MB
Chapter 6-Machine Learning/199 Ensemble Project .mp3 9.2 MB
Chapter 10-Transformers and Generative AI/366 Self Attention.mp3 9.2 MB
Chapter 2-Python for Data Science/24 Matplotlib.mp3 9.2 MB
Chapter 2-Python for Data Science/16 Functions .mp3 9.2 MB
Chapter 2-Python for Data Science/12 Tuples.mp3 9.2 MB
Chapter 2-Python for Data Science/22 Pandas.mp3 9.2 MB
Chapter 5-SQL for Data Science/127 Joins .mp3 9.2 MB
Chapter 2-Python for Data Science/11 Lists.mp3 9.2 MB
Chapter 2-Python for Data Science/20 OOPs.mp3 9.2 MB
Chapter 14-Generative AI Projects/450 ML Interview 8 .mp3 9.2 MB
Chapter 7-Time Series Analysis and Forecasting/280 Project 3 - Demand Forecasting Part 3 .mp3 9.1 MB
Chapter 9-Natural Language Processing/338 Word Embeddings Word2Vec Part 2.mp4 9.1 MB
Chapter 3-Business Statistics/50 Variance Standard Deviation .mp3 9.1 MB
Chapter 3-Business Statistics/35 Why Sampling is important.mp4 9.1 MB
Chapter 7-Time Series Analysis and Forecasting/271 Mean Absolute Percentage Error.mp4 9.1 MB
Chapter 15-Interview Prep (New Section)/452 ML Interview 10.mp3 9.1 MB
Chapter 6-Machine Learning/214 Feature Engineering Linear Discriminant Analysis .mp3 9.1 MB
Chapter 11-Generative AI (Advanced)/421 AWS .mp3 9.1 MB
Chapter 15-Interview Prep (New Section)/460 DL Interview 8.mp3 9.0 MB
Chapter 9-Natural Language Processing/331 NLP Basics Bag of Words -.mp3 9.0 MB
Chapter 5-SQL for Data Science/122 Introduction to SQL .mp3 9.0 MB
Chapter 9-Natural Language Processing/360 Neural Networks GRU Part 4 (update gate) .mp3 9.0 MB
Chapter 8-Deep Learning and Neural Networks/314 Pre-Trained Models VGG16 .mp3 9.0 MB
Chapter 7-Time Series Analysis and Forecasting/250 Models - MA Theory .mp3 8.9 MB
Chapter 2-Python for Data Science/19 Control Structures.mp3 8.9 MB
Chapter 9-Natural Language Processing/353 Neural Networks LSTMs Part 7 (output gate).mp3 8.8 MB
Chapter 10-Transformers and Generative AI/383 GPT Training .mp3 8.8 MB
Chapter 6-Machine Learning/215 Feature Engineering Linear Discriminant Analysis (Practicals) .mp3 8.7 MB
Chapter 10-Transformers and Generative AI/376 RoBERTa .mp3 8.7 MB
Chapter 3-Business Statistics/80 Z Test.mp3 8.6 MB
Chapter 7-Time Series Analysis and Forecasting/238 Outlier Treatment .mp3 8.6 MB
Chapter 4-Exploratory Data Analysis/97 Outlier Treatment (Theory) .mp3 8.6 MB
Chapter 4-Exploratory Data Analysis/87 What is EDA.mp4 8.6 MB
Chapter 8-Deep Learning and Neural Networks/303 Convolutional Neural Networks Batch size vs iterations vs epochs .mp3 8.5 MB
Chapter 5-SQL for Data Science/132 Regular Expressions .mp3 8.5 MB
Chapter 6-Machine Learning/159 Regression Bias Variance Tradeoff.mp3 8.5 MB
Chapter 7-Time Series Analysis and Forecasting/272 Project 1 - Energy Forecasting Part 1.mp4 8.5 MB
Chapter 6-Machine Learning/167 Classification AUC ROC Curve .mp3 8.5 MB
Chapter 10-Transformers and Generative AI/374 BERT Input Embeddings.mp3 8.5 MB
Chapter 10-Transformers and Generative AI/367 Encoder Architecture .mp3 8.4 MB
Chapter 7-Time Series Analysis and Forecasting/228 Components of Time Series .mp3 8.4 MB
Chapter 12-ML DL Deployment/428 Data Warehouse Structure.mp4 8.4 MB
Chapter 6-Machine Learning/161 Regression Lasso Regression.mp3 8.4 MB
Chapter 9-Natural Language Processing/321 Intro to NLP Key Challenges .mp3 8.3 MB
Chapter 15-Interview Prep (New Section)/462 DL Interview 10 .mp3 8.3 MB
Chapter 4-Exploratory Data Analysis/102 Univariate Analysis.mp3 8.3 MB
Chapter 3-Business Statistics/81 Chi Square Test .mp3 8.2 MB
Chapter 3-Business Statistics/82 ANOVA .mp3 8.2 MB
Chapter 7-Time Series Analysis and Forecasting/232 Stationarity .mp3 8.2 MB
Chapter 9-Natural Language Processing/340 Word Embeddings Word2Vec Intuition .mp3 8.1 MB
Chapter 7-Time Series Analysis and Forecasting/259 Models - Grid Search (Part 1) .mp3 8.1 MB
Chapter 8-Deep Learning and Neural Networks/287 What is a Neuron .mp3 8.1 MB
Chapter 7-Time Series Analysis and Forecasting/231 AdditiveMultiplicative Decomposition .mp3 8.0 MB
Chapter 14-Generative AI Projects/449 ML Interview 7 .mp3 7.9 MB
Chapter 9-Natural Language Processing/359 Neural Networks GRU Part 3 (reset gate) .mp3 7.9 MB
Chapter 6-Machine Learning/173 Classification Decision Tree .mp3 7.9 MB
Chapter 10-Transformers and Generative AI/373 BERT Pre Tuning (Masked LM) .mp3 7.9 MB
Chapter 7-Time Series Analysis and Forecasting/249 Models - AR Theory.mp3 7.9 MB
Chapter 7-Time Series Analysis and Forecasting/283 Project 3 - Demand Forecasting Part 6 .mp3 7.9 MB
Chapter 9-Natural Language Processing/328 NLP Basics nGrams .mp3 7.9 MB
Chapter 3-Business Statistics/31 Qualitative Data .mp3 7.9 MB
Chapter 15-Interview Prep (New Section)/467 Gen AI Interview 5 .mp3 7.8 MB
Chapter 15-Interview Prep (New Section)/476 Gen AI Interview 5 -.mp3 7.8 MB
Chapter 3-Business Statistics/78 Types of Test .mp3 7.7 MB
Chapter 6-Machine Learning/185 Classification Issues in Classification (Part 1) .mp3 7.7 MB
Chapter 6-Machine Learning/223 Hyper Parameter Optimization GridSearchCV (Practicals) .mp3 7.7 MB
Chapter 8-Deep Learning and Neural Networks/305 Convolutional Neural Networks Model Summary & Parameters .mp3 7.6 MB
Chapter 3-Business Statistics/68 Calculating Probability with Z-score for Normal Distribution Part 1 .mp3 7.5 MB
Chapter 15-Interview Prep (New Section)/457 DL Interview 5 .mp3 7.5 MB
Chapter 3-Business Statistics/40 Population Sampling .mp3 7.5 MB
Chapter 3-Business Statistics/29 Descriptive Stats.mp3 7.5 MB
Chapter 15-Interview Prep (New Section)/475 Gen AI Interview 4 .mp3 7.5 MB
Chapter 12-ML DL Deployment/431 Data Lake.mp4 7.5 MB
Chapter 3-Business Statistics/38 Probability Sampling .mp3 7.5 MB
Chapter 8-Deep Learning and Neural Networks/299 Convolutional Neural Networks What is CNN .mp3 7.5 MB
Chapter 10-Transformers and Generative AI/403 Vector Database vs Vector Index.mp3 7.4 MB
Chapter 6-Machine Learning/176 Classification Decision Tree (Practicals) .mp3 7.4 MB
Chapter 3-Business Statistics/61 Uniform Distribution.mp3 7.4 MB
Chapter 3-Business Statistics/30 Inferential Stats.mp4 7.4 MB
Chapter 15-Interview Prep (New Section)/469 Gen AI Interview 7 .mp3 7.3 MB
Chapter 15-Interview Prep (New Section)/478 Gen AI Interview 7 .mp3 7.3 MB
Chapter 3-Business Statistics/57 Conditional Probability .mp3 7.3 MB
Chapter 7-Time Series Analysis and Forecasting/262 Models - Facebook Prophet (Part 1) .mp3 7.3 MB
Chapter 9-Natural Language Processing/330 NLP Basics Word Embeddings.mp4 7.2 MB
Chapter 10-Transformers and Generative AI/410 Python Implementation Ollama.mp3 7.2 MB
Chapter 11-Generative AI (Advanced)/424 What is ETL.mp3 7.2 MB
Chapter 3-Business Statistics/67 Kurtosis.mp4 7.1 MB
Chapter 3-Business Statistics/76 Tailed Tests.mp4 7.1 MB
Chapter 6-Machine Learning/168 Classification Classification Report.mp3 7.0 MB
Chapter 3-Business Statistics/65 Normal Distribution Part 2 .mp3 7.0 MB
Chapter 15-Interview Prep (New Section)/454 DL Interview 2 .mp3 7.0 MB
Chapter 4-Exploratory Data Analysis/85 Agenda.mp4 7.0 MB
Chapter 9-Natural Language Processing/339 Word Embeddings Pre-Trained Word2Vec .mp3 6.9 MB
Chapter 8-Deep Learning and Neural Networks/295 Gradient Descent .mp3 6.9 MB
Chapter 3-Business Statistics/79 T Test .mp3 6.9 MB
Chapter 4-Exploratory Data Analysis/101 Types of Analysis.mp4 6.9 MB
Chapter 8-Deep Learning and Neural Networks/316 Transfer Learning .mp3 6.9 MB
Chapter 11-Generative AI (Advanced)/416 Deployment Basics .mp3 6.8 MB
Chapter 7-Time Series Analysis and Forecasting/242 Feature Scaling Normalization.mp4 6.8 MB
Chapter 4-Exploratory Data Analysis/95 Normalization Example.mp4 6.8 MB
Chapter 6-Machine Learning/147 Pre-Requisites Normalization Example.mp4 6.8 MB
Chapter 7-Time Series Analysis and Forecasting/248 Models - ARIMA Part 2 .mp3 6.8 MB
Chapter 5-SQL for Data Science/121 Data Architecture - File server vs client server.mp3 6.8 MB
Chapter 10-Transformers and Generative AI/382 GPT Blocks.mp3 6.8 MB
Chapter 10-Transformers and Generative AI/400 Few Shot Limitations.mp3 6.7 MB
Chapter 3-Business Statistics/54 Addition Rule .mp3 6.7 MB
Chapter 4-Exploratory Data Analysis/108 Feature Binning (Theory) .mp3 6.7 MB
Chapter 7-Time Series Analysis and Forecasting/226 Time Series Analysis.mp4 6.7 MB
Chapter 15-Interview Prep (New Section)/456 DL Interview 4 .mp3 6.7 MB
Chapter 6-Machine Learning/138 Agenda.mp4 6.6 MB
Chapter 3-Business Statistics/53 Probability .mp3 6.6 MB
Chapter 9-Natural Language Processing/327 NLP Basics Stop Word Removal .mp3 6.6 MB
Chapter 9-Natural Language Processing/322 Intro to NLP Linguistics .mp3 6.6 MB
Chapter 3-Business Statistics/45 Median .mp3 6.5 MB
Chapter 8-Deep Learning and Neural Networks/291 Activation Function Sigmoid Function .mp3 6.5 MB
Chapter 1-Introduction/1 Welcome Page.mp4 6.5 MB
Chapter 7-Time Series Analysis and Forecasting/274 Project 1 - Energy Forecasting Part 3 .mp3 6.5 MB
Chapter 7-Time Series Analysis and Forecasting/233 Testing TS Stationarity.mp3 6.5 MB
Chapter 3-Business Statistics/75 Hypothesis Testing .mp3 6.4 MB
Chapter 10-Transformers and Generative AI/388 LLM Basics Prompt Tuning .mp3 6.4 MB
Chapter 3-Business Statistics/83 Correlation Test (Practicals) .mp3 6.4 MB
Chapter 9-Natural Language Processing/319 Intro to NLP Introduction.mp3 6.4 MB
Chapter 7-Time Series Analysis and Forecasting/252 Models - Find p,d,q in ARIMA.mp4 6.4 MB
Chapter 10-Transformers and Generative AI/401 Chain of Thoughts Prompting.mp3 6.3 MB
Chapter 9-Natural Language Processing/349 Neural Networks LSTMs Part 3 (Deep Dive) .mp3 6.3 MB
Chapter 8-Deep Learning and Neural Networks/307 Recurrent Neural Networks Basics .mp3 6.3 MB
Chapter 8-Deep Learning and Neural Networks/289 Activation Function Step Function .mp3 6.2 MB
Chapter 6-Machine Learning/197 Ensemble Cross Entropy.mp3 6.2 MB
Chapter 7-Time Series Analysis and Forecasting/247 Models - ARIMA Part 1.mp4 6.2 MB
Chapter 13-Data Engineering Basics/442 ML Interview Prep.mp4 6.1 MB
Chapter 6-Machine Learning/195 Ensemble Gradient Boost.mp3 6.1 MB
Chapter 6-Machine Learning/207 Feature Engineering RFE and SFS.mp3 6.1 MB
Chapter 6-Machine Learning/164 Classification Types of Classification .mp3 6.1 MB
Chapter 14-Generative AI Projects/447 ML Interview 5.mp3 6.1 MB
Chapter 7-Time Series Analysis and Forecasting/230 Decomposition (Practicals) .mp3 6.1 MB
Chapter 12-ML DL Deployment/429 Why do we need Staging .mp3 6.1 MB
Chapter 7-Time Series Analysis and Forecasting/265 Models - Multi Variate Time Series Analysis .mp3 6.0 MB
Chapter 4-Exploratory Data Analysis/86 DA,DS Processes.mp3 6.0 MB
Chapter 7-Time Series Analysis and Forecasting/273 Project 1 - Energy Forecasting Part 2 .mp3 5.9 MB
Chapter 4-Exploratory Data Analysis/91 Handle Missing Values (Theory).mp3 5.9 MB
Chapter 7-Time Series Analysis and Forecasting/236 Handle Missing Value .mp3 5.9 MB
Chapter 10-Transformers and Generative AI/375 ARLM vs AELM.mp3 5.9 MB
Chapter 3-Business Statistics/58 Bayes Theorem 1.mp4 5.8 MB
Chapter 6-Machine Learning/211 Feature Engineering Chi-Square (Practicals).mp3 5.8 MB
Chapter 9-Natural Language Processing/350 Neural Networks LSTMs Part 4 (Pointwise Operations).mp3 5.8 MB
Chapter 9-Natural Language Processing/337 Word Embeddings Word2Vec Introduction .mp3 5.8 MB
Chapter 7-Time Series Analysis and Forecasting/260 Models - Grid Search (Part 2).mp4 5.8 MB
Chapter 6-Machine Learning/141 Use Cases Part 1.mp4 5.8 MB
Chapter 4-Exploratory Data Analysis/100 Types of Data.mp4 5.7 MB
Chapter 6-Machine Learning/216 Feature Engineering kPCA & QDA .mp3 5.7 MB
Chapter 2-Python for Data Science/23 Data Visualization.mp3 5.7 MB
Chapter 7-Time Series Analysis and Forecasting/234 Transformation.mp3 5.7 MB
Chapter 9-Natural Language Processing/320 Intro to NLP Introduction continued.mp3 5.6 MB
Chapter 6-Machine Learning/219 Hyper Parameter Optimization Manual HPO .mp3 5.6 MB
Chapter 7-Time Series Analysis and Forecasting/264 Models - Facebook Prophet (Part 3).mp3 5.6 MB
Chapter 6-Machine Learning/163 Classification Introduction to Classification.mp3 5.6 MB
Chapter 6-Machine Learning/210 Feature Engineering Chi-Square .mp3 5.6 MB
Chapter 15-Interview Prep (New Section)/464 Gen AI Interview 2 .mp3 5.6 MB
Chapter 15-Interview Prep (New Section)/473 Gen AI Interview 2 .mp3 5.6 MB
Chapter 12-ML DL Deployment/430 What are Data Marts.mp4 5.5 MB
Chapter 8-Deep Learning and Neural Networks/286 Understanding Deep Learning .mp3 5.5 MB
Chapter 8-Deep Learning and Neural Networks/285 Introduction to Deep Learning.mp4 5.5 MB
Chapter 6-Machine Learning/178 Classification Random Forest Classifier.mp3 5.4 MB
Chapter 9-Natural Language Processing/326 NLP Basics Tokenization .mp3 5.4 MB
Chapter 12-ML DL Deployment/425 ETL Tools.mp3 5.4 MB
Chapter 8-Deep Learning and Neural Networks/310 Recurrent Neural Networks LSTMs .mp3 5.4 MB
Chapter 3-Business Statistics/27 Introduction.mp3 5.4 MB
Chapter 3-Business Statistics/60 Probability Distrubution (Agenda).mp4 5.4 MB
Chapter 6-Machine Learning/150 Regression Introduction to Regression Models .mp3 5.3 MB
Chapter 10-Transformers and Generative AI/379 Introduction to GPT (Decoder Only) .mp3 5.3 MB
Chapter 10-Transformers and Generative AI/393 RAGs Paper Explanation.mp3 5.2 MB
Chapter 6-Machine Learning/217 Feature Engineering kPCA & QDA (Practicals).mp3 5.2 MB
Chapter 8-Deep Learning and Neural Networks/315 Pre-Trained Models MobileNet .mp3 5.2 MB
Chapter 10-Transformers and Generative AI/368 Contextual Embeddings .mp3 5.2 MB
Chapter 15-Interview Prep (New Section)/463 Gen AI Interview 1 .mp3 5.1 MB
Chapter 3-Business Statistics/44 Mean.mp3 5.1 MB
Chapter 3-Business Statistics/43 Measures of Central Tendency.mp4 5.1 MB
Chapter 10-Transformers and Generative AI/369 Decoder Architecture .mp3 5.0 MB
Chapter 12-ML DL Deployment/427 Benefits of Data Warehouse.mp4 5.0 MB
Chapter 13-Data Engineering Basics/433 Elements of Datalake.mp4 5.0 MB
Chapter 10-Transformers and Generative AI/380 GPT Architecture .mp3 4.9 MB
Chapter 8-Deep Learning and Neural Networks/308 Recurrent Neural Networks Types of RNN .mp3 4.9 MB
Chapter 3-Business Statistics/39 Non probability sampling .mp3 4.9 MB
Chapter 9-Natural Language Processing/357 Neural Networks GRU Part 1 .mp3 4.8 MB
Chapter 4-Exploratory Data Analysis/103 Bivariate Analysis.mp3 4.8 MB
Chapter 8-Deep Learning and Neural Networks/288 Activation Functions.mp3 4.8 MB
Chapter 3-Business Statistics/37 Cluster Random Sampling.mp3 4.8 MB
Chapter 7-Time Series Analysis and Forecasting/267 Introduction to Metrics .mp3 4.8 MB
Chapter 2-Python for Data Science/7 Let s leverage chatGPT for help.mp3 4.8 MB
Chapter 3-Business Statistics/41 Why n-1 and not n.mp3 4.7 MB
Chapter 6-Machine Learning/179 Classification Random Forest Classifier (Practicals) .mp3 4.7 MB
Chapter 3-Business Statistics/59 Bayes Theorem 2 .mp3 4.6 MB
Chapter 2-Python for Data Science/8 Introduction to Python.mp3 4.5 MB
Chapter 10-Transformers and Generative AI/414 RAG Systems with xAI LLM APIs .mp3 4.5 MB
Chapter 9-Natural Language Processing/323 NLP Basics Case Folding .mp3 4.5 MB
Chapter 6-Machine Learning/139 Introduction to ML .mp3 4.5 MB
Chapter 3-Business Statistics/66 Skewness .mp3 4.4 MB
Chapter 3-Business Statistics/49 IQR .mp3 4.4 MB
Chapter 4-Exploratory Data Analysis/88 Visualization.mp3 4.4 MB
Chapter 3-Business Statistics/48 Range.mp4 4.4 MB
Chapter 7-Time Series Analysis and Forecasting/271 Mean Absolute Percentage Error .mp3 4.4 MB
Chapter 4-Exploratory Data Analysis/99 Invalid Data .mp3 4.4 MB
Chapter 9-Natural Language Processing/329 NLP Basics Vectorization .mp3 4.4 MB
Chapter 3-Business Statistics/69 Calculating Probability with Z-score for Normal Distribution Part 2 .mp3 4.4 MB
Chapter 7-Time Series Analysis and Forecasting/275 Project 2 - Stock Market Prediction Part 1.mp3 4.3 MB
Chapter 7-Time Series Analysis and Forecasting/229 Decomposition.mp4 4.3 MB
Chapter 3-Business Statistics/55 Independent Events .mp3 4.3 MB
Chapter 3-Business Statistics/46 Mode .mp3 4.3 MB
Chapter 7-Time Series Analysis and Forecasting/227 Anomaly Detection .mp3 4.2 MB
Chapter 4-Exploratory Data Analysis/89 Steps involved in EDA (Data Sourcing).mp3 4.2 MB
Chapter 8-Deep Learning and Neural Networks/296 Artificial Neural Networks Intuition .mp3 4.2 MB
Chapter 4-Exploratory Data Analysis/107 Derived Metrics .mp3 4.2 MB
Chapter 7-Time Series Analysis and Forecasting/270 Root Mean Squarred Error.mp4 4.1 MB
Chapter 7-Time Series Analysis and Forecasting/281 Project 3 - Demand Forecasting Part 4.mp4 4.1 MB
Chapter 7-Time Series Analysis and Forecasting/224 Introduction to TSA .mp3 4.1 MB
Chapter 7-Time Series Analysis and Forecasting/268 Forecasting Evaluation Metrics.mp4 4.1 MB
Chapter 7-Time Series Analysis and Forecasting/269 Mean Squarred Error.mp4 4.1 MB
Chapter 3-Business Statistics/56 Cumulative Probability.mp3 4.1 MB
Chapter 3-Business Statistics/47 Measures of Dispersion.mp3 4.0 MB
Chapter 3-Business Statistics/32 Quantitative Data .mp3 3.9 MB
Chapter 3-Business Statistics/77 p-value .mp3 3.9 MB
Chapter 6-Machine Learning/146 Pre-Requisites Standardization Example .mp3 3.9 MB
Chapter 7-Time Series Analysis and Forecasting/241 Feature Scaling Standardization .mp3 3.9 MB
Chapter 4-Exploratory Data Analysis/94 Standardization Example.mp3 3.9 MB
Chapter 3-Business Statistics/51 Mean Deviation .mp3 3.9 MB
Chapter 4-Exploratory Data Analysis/90 Steps involved in EDA (Data Cleaning).mp3 3.8 MB
Chapter 7-Time Series Analysis and Forecasting/276 Project 2 - Stock Market Prediction Part 2 .mp3 3.8 MB
Chapter 15-Interview Prep (New Section)/461 DL Interview 9 .mp3 3.7 MB
Chapter 3-Business Statistics/74 Covariance VS Correlation.mp3 3.6 MB
Chapter 6-Machine Learning/142 Use Cases Part 2.mp4 3.6 MB
Chapter 4-Exploratory Data Analysis/105 Numerical Analysis.mp3 3.6 MB
Chapter 3-Business Statistics/33 Sampling Techniques (Agenda).mp4 3.6 MB
Chapter 10-Transformers and Generative AI/372 BERT Fine Tuning.mp3 3.5 MB
Chapter 2-Python for Data Science/6 Google Colab, what s that.mp3 3.5 MB
Chapter 3-Business Statistics/34 Population vs Sample .mp3 3.5 MB
Chapter 10-Transformers and Generative AI/371 Configurations of BERT .mp3 3.5 MB
Chapter 7-Time Series Analysis and Forecasting/247 Models - ARIMA Part 1 .mp3 3.5 MB
Chapter 13-Data Engineering Basics/432 Data lake vs Data Warehouse.mp3 3.4 MB
Chapter 7-Time Series Analysis and Forecasting/257 Models - ACFPACF .mp3 3.3 MB
Chapter 7-Time Series Analysis and Forecasting/235 Introduction to Pre-Processing .mp3 3.3 MB
Chapter 8-Deep Learning and Neural Networks/292 Activation Function TanH Function .mp3 3.3 MB
Chapter 7-Time Series Analysis and Forecasting/252 Models - Find p,d,q in ARIMA .mp3 3.3 MB
Chapter 3-Business Statistics/70 Calculating Probability with Z-score for Normal Distribution Part 3 .mp3 3.3 MB
Chapter 3-Business Statistics/36 Types of Sampling .mp3 3.3 MB
Chapter 7-Time Series Analysis and Forecasting/278 Project 3 - Demand Forecasting Part 1 .mp3 3.3 MB
Chapter 3-Business Statistics/63 Poisson Distribution .mp3 3.2 MB
Chapter 7-Time Series Analysis and Forecasting/256 Models - Decomposition.mp3 3.2 MB
Chapter 5-SQL for Data Science/120 Installation .mp3 3.1 MB
Chapter 9-Natural Language Processing/338 Word Embeddings Word2Vec Part 2 .mp3 3.1 MB
Chapter 3-Business Statistics/35 Why Sampling is important.mp3 3.1 MB
Chapter 7-Time Series Analysis and Forecasting/246 Models - Algorithms.mp4 3.0 MB
Chapter 12-ML DL Deployment/426 What is Data Warehouse .mp3 3.0 MB
Chapter 7-Time Series Analysis and Forecasting/272 Project 1 - Energy Forecasting Part 1 .mp3 2.9 MB
Chapter 4-Exploratory Data Analysis/87 What is EDA.mp3 2.9 MB
Chapter 12-ML DL Deployment/428 Data Warehouse Structure .mp3 2.9 MB
Chapter 10-Transformers and Generative AI/390 RAGs Introduction to RAG.mp4 2.9 MB
Chapter 4-Exploratory Data Analysis/104 Multivariate Analysis.mp4 2.8 MB
Chapter 8-Deep Learning and Neural Networks/285 Introduction to Deep Learning .mp3 2.8 MB
Chapter 4-Exploratory Data Analysis/100 Types of Data.mp3 2.7 MB
Chapter 12-ML DL Deployment/430 What are Data Marts .mp3 2.7 MB
Chapter 7-Time Series Analysis and Forecasting/268 Forecasting Evaluation Metrics.mp3 2.6 MB
Chapter 7-Time Series Analysis and Forecasting/269 Mean Squarred Error .mp3 2.5 MB
Chapter 3-Business Statistics/30 Inferential Stats.mp3 2.5 MB
Chapter 9-Natural Language Processing/330 NLP Basics Word Embeddings -.mp3 2.4 MB
Chapter 3-Business Statistics/76 Tailed Tests.mp3 2.4 MB
Chapter 3-Business Statistics/67 Kurtosis.mp3 2.4 MB
Chapter 4-Exploratory Data Analysis/101 Types of Analysis .mp3 2.4 MB
Chapter 4-Exploratory Data Analysis/85 Agenda .mp3 2.3 MB
Chapter 12-ML DL Deployment/431 Data Lake .mp3 2.3 MB
Chapter 3-Business Statistics/42 Descriptive Analytics (Agenda).mp4 2.3 MB
Chapter 3-Business Statistics/43 Measures of Central Tendency .mp3 2.3 MB
Chapter 6-Machine Learning/147 Pre-Requisites Normalization Example.mp3 2.3 MB
Chapter 7-Time Series Analysis and Forecasting/242 Feature Scaling Normalization.mp3 2.3 MB
Chapter 4-Exploratory Data Analysis/95 Normalization Example .mp3 2.3 MB
Chapter 7-Time Series Analysis and Forecasting/226 Time Series Analysis .mp3 2.3 MB
Chapter 3-Business Statistics/52 Probability (Agenda).mp4 2.2 MB
Chapter 6-Machine Learning/138 Agenda.mp3 2.2 MB
Chapter 1-Introduction/1 Welcome Page.mp3 2.2 MB
Chapter 13-Data Engineering Basics/442 ML Interview Prep .mp3 2.1 MB
Chapter 7-Time Series Analysis and Forecasting/270 Root Mean Squarred Error .mp3 2.0 MB
Chapter 6-Machine Learning/141 Use Cases Part 1.mp3 2.0 MB
Chapter 3-Business Statistics/58 Bayes Theorem 1.mp3 2.0 MB
Chapter 7-Time Series Analysis and Forecasting/260 Models - Grid Search (Part 2) .mp3 1.9 MB
Chapter 3-Business Statistics/60 Probability Distrubution (Agenda).mp3 1.9 MB
Chapter 7-Time Series Analysis and Forecasting/229 Decomposition.mp3 1.8 MB
Chapter 13-Data Engineering Basics/433 Elements of Datalake .mp3 1.7 MB
Chapter 7-Time Series Analysis and Forecasting/246 Models - Algorithms .mp3 1.6 MB
Chapter 3-Business Statistics/48 Range - rutube.ru (92d07ce6ec6b4695a47933a429b2bf58).mp3 1.6 MB
Chapter 3-Business Statistics/33 Sampling Techniques (Agenda) .mp3 1.5 MB
Chapter 10-Transformers and Generative AI/390 RAGs Introduction to RAG .mp3 1.5 MB
Chapter 7-Time Series Analysis and Forecasting/281 Project 3 - Demand Forecasting Part 4 .mp3 1.4 MB
Chapter 12-ML DL Deployment/427 Benefits of Data Warehouse .mp3 1.4 MB
Chapter 6-Machine Learning/142 Use Cases Part 2.mp3 1.4 MB
Chapter 11-Generative AI (Advanced)/423 Introduction to Data Engineering.mp4 1.3 MB
Chapter 3-Business Statistics/28 Types of Data (Agenda).mp4 1.3 MB
Chapter 4-Exploratory Data Analysis/104 Multivariate Analysis .mp3 1.2 MB
Chapter 3-Business Statistics/71 Covariance & Correlation (Agenda).mp4 1.1 MB
Chapter 3-Business Statistics/42 Descriptive Analytics (Agenda) .mp3 1.0 MB
Chapter 3-Business Statistics/52 Probability (Agenda) .mp3 937.6 KB
Chapter 10-Transformers and Generative AI/Additional_Files/RAGPaper (1).pdf 864.6 KB
Chapter 10-Transformers and Generative AI/Additional_Files/RAGPaper.pdf 864.6 KB
Chapter 2-Python for Data Science/Additional_Files/Python+Installation+Guide.pdf 842.0 KB
Chapter 11-Generative AI (Advanced)/423 Introduction to Data Engineering.mp3 627.0 KB
Chapter 3-Business Statistics/28 Types of Data (Agenda).mp3 613.9 KB
Chapter 3-Business Statistics/71 Covariance & Correlation (Agenda).mp3 499.2 KB
Chapter 10-Transformers and Generative AI/Additional_Files/RAG+with+GrokAI.ipynb 20.0 KB
Chapter 10-Transformers and Generative AI/Additional_Files/RAG+with+Ollama.ipynb 10.0 KB

Udemy Data Science and AI Masters 2025 From Python To Gen AI

File List

Download Torrent

Related Resources

Copyright Infringement