12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/101 - Day 6 SequencetoSequence Models and Applications.mp4 646.9 MB
6 - Week 5 Introduction to Machine Learning/50 - Day 3 Advanced Regression Models Polynomial Regression and Regularization.mp4 492.9 MB
2 - Week 1 Python Programming Basics/22 - Day 7 Pythonic Code and Project Work.mp4 481.9 MB
11 - Week 10 Convolutional Neural Networks CNNs/94 - Day 7 CNN Project Image Classification on Fashion MNIST or CIFAR10.mp4 410.2 MB
10 - Week 9 Neural Networks and Deep Learning Fundamentals/85 - Day 6 Building Neural Networks with PyTorch.mp4 390.5 MB
9 - Week 8 Model Tuning and Optimization/74 - Day 3 Advanced Hyperparameter Tuning with Bayesian Optimization.mp4 388.5 MB
12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/96 - Day 1 Introduction to Sequence Modeling and RNNs.mp4 377.3 MB
5 - Week 4 Probability and Statistics for Machine Learning/46 - Day 7 Statistical Analysis Project Analyzing RealWorld Data.mp4 334.7 MB
11 - Week 10 Convolutional Neural Networks CNNs/88 - Day 1 Introduction to Convolutional Neural Networks.mp4 329.3 MB
3 - Week 2 Data Science Essentials/29 - Day 6 Data Visualization with Matplotlib and Seaborn.mp4 316.4 MB
12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/97 - Day 2 Understanding RNN Architecture and Backpropagation Through Time BPTT.mp4 298.8 MB
10 - Week 9 Neural Networks and Deep Learning Fundamentals/83 - Day 4 Gradient Descent and Optimization Techniques.mp4 289.4 MB
4 - Week 3 Mathematics for Machine Learning/36 - Day 5 Probability Theory and Distributions.mp4 282.5 MB
9 - Week 8 Model Tuning and Optimization/77 - Day 6 Automated Hyperparameter Tuning with GridSearchCV and RandomizedSearchCV.mp4 274.6 MB
13 - Week 12 Transformers and Attention Mechanisms/106 - Day 3 SelfAttention and MultiHead Attention in Transformers.mp4 270.9 MB
13 - Week 12 Transformers and Attention Mechanisms/109 - Day 6 Advanced Transformers BERT Variants and GPT3.mp4 269.2 MB
14 - Week 13 Transfer Learning and FineTuning/113 - Day 2 Transfer Learning in Computer Vision.mp4 265.7 MB
13 - Week 12 Transformers and Attention Mechanisms/108 - Day 5 HandsOn with PreTrained Transformers BERT and GPT.mp4 263.5 MB
3 - Week 2 Data Science Essentials/30 - Day 7 Exploratory Data Analysis EDA Project.mp4 261.6 MB
8 - Week 7 Advanced Machine Learning Algorithms/68 - Day 5 LightGBM and CatBoost.mp4 258.7 MB
7 - Week 6 Feature Engineering and Model Evaluation/62 - Day 7 CrossValidation and Hyperparameter Tuning.mp4 257.6 MB
6 - Week 5 Introduction to Machine Learning/51 - Day 4 Introduction to Classification and Logistic Regression.mp4 255.7 MB
13 - Week 12 Transformers and Attention Mechanisms/110 - Day 7 Transformer Project Text Summarization or Translation.mp4 246.5 MB
14 - Week 13 Transfer Learning and FineTuning/118 - Day 7 Transfer Learning Project FineTuning for a Custom Task.mp4 245.6 MB
3 - Week 2 Data Science Essentials/26 - Day 3 Introduction to Pandas for Data Manipulation.mp4 238.6 MB
8 - Week 7 Advanced Machine Learning Algorithms/67 - Day 4 Introduction to XGBoost.mp4 238.2 MB
9 - Week 8 Model Tuning and Optimization/78 - Day 7 Optimization Project Building and Tuning a Final Model.mp4 234.0 MB
10 - Week 9 Neural Networks and Deep Learning Fundamentals/84 - Day 5 Building Neural Networks with TensorFlow and Keras.mp4 232.8 MB
8 - Week 7 Advanced Machine Learning Algorithms/70 - Day 7 Ensemble Learning Project Comparing Models on a Real Dataset.mp4 232.7 MB
11 - Week 10 Convolutional Neural Networks CNNs/92 - Day 5 Building CNN Architectures with PyTorch.mp4 231.9 MB
12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/100 - Day 5 Text Preprocessing and Word Embeddings for RNNs.mp4 230.2 MB
14 - Week 13 Transfer Learning and FineTuning/115 - Day 4 Transfer Learning in NLP.mp4 229.5 MB
18 - Handson Projects on Data Science in Python/215 - 2 Image Classifier using Keras and TensorFlow.mp4 228.1 MB
3 - Week 2 Data Science Essentials/24 - Day 1 Introduction to NumPy for Numerical Computing.mp4 225.3 MB
7 - Week 6 Feature Engineering and Model Evaluation/60 - Day 5 Creating and Transforming Features.mp4 220.1 MB
11 - Week 10 Convolutional Neural Networks CNNs/91 - Day 4 Building CNN Architectures with Keras and TensorFlow.mp4 218.0 MB
14 - Week 13 Transfer Learning and FineTuning/114 - Day 3 FineTuning Techniques in Computer Vision.mp4 216.8 MB
13 - Week 12 Transformers and Attention Mechanisms/105 - Day 2 Introduction to Transformers Architecture.mp4 213.7 MB
7 - Week 6 Feature Engineering and Model Evaluation/59 - Day 4 Feature Selection Techniques.mp4 208.5 MB
18 - Handson Projects on Data Science in Python/223 - 10 Basic Neural Network from scratch.mp4 203.4 MB
11 - Week 10 Convolutional Neural Networks CNNs/93 - Day 6 Regularization and Data Augmentation for CNNs.mp4 201.3 MB
2 - Week 1 Python Programming Basics/16 - Day 1 Introduction to Python and Development Setup.mp4 193.3 MB
9 - Week 8 Model Tuning and Optimization/75 - Day 4 Regularization Techniques for Model Optimization.mp4 192.0 MB
18 - Handson Projects on Data Science in Python/243 - 30 Automatic Essay Grading using BERT.mp4 187.3 MB
13 - Week 12 Transformers and Attention Mechanisms/107 - Day 4 Positional Encoding and FeedForward Networks.mp4 186.8 MB
14 - Week 13 Transfer Learning and FineTuning/112 - Day 1 Introduction to Transfer Learning.mp4 186.4 MB
7 - Week 6 Feature Engineering and Model Evaluation/57 - Day 2 Data Scaling and Normalization.mp4 181.2 MB
18 - Handson Projects on Data Science in Python/226 - 13 Dog vs Cat Classifier with CNN.mp4 179.1 MB
8 - Week 7 Advanced Machine Learning Algorithms/66 - Day 3 Boosting and Gradient Boosting.mp4 175.1 MB
12 - Week 11 Recurrent Neural Networks RNNs and Sequence Modeling/102 - Day 7 RNN Project Text Generation or Sentiment Analysis.mp4 173.7 MB
10 - Week 9 Neural Networks and Deep Learning Fundamentals/81 - Day 2 Forward Propagation and Activation Functions.mp4 172.3 MB
2 - Week 1 Python Programming Basics/20 - Day 5 Working with Strings.mp4 171.4 MB
8 - Week 7 Advanced Machine Learning Algorithms/65 - Day 2 Bagging and Random Forests.mp4 170.4 MB
10 - Week 9 Neural Networks and Deep Learning Fundamentals/80 - Day 1 Introduction to Deep Learning and Neural Networks.mp4 168.8 MB
14 - Week 13 Transfer Learning and FineTuning/116 - Day 5 FineTuning Techniques in NLP.mp4 167.6 MB
6 - Week 5 Introduction to Machine Learning/54 - Day 7 Supervised Learning Mini Project.mp4 164.9 MB
7 - Week 6 Feature Engineering and Model Evaluation/56 - Day 1 Introduction to Feature Engineering.mp4 162.3 MB
11 - Week 10 Convolutional Neural Networks CNNs/90 - Day 3 Pooling Layers and Dimensionality Reduction.mp4 157.4 MB
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