Udemy - Data Science and Machine Learning Fundamentals [2025] (5.2025)
File List
- 8 - Text Mining and NLP/13 -Emotion Mining and Sentiment Analysis.mp4 1.0 GB
- 5 - Master Classification with Machine Learning models/5 -The Decision Tree Classifier.mp4 549.1 MB
- 4 - Master Regression and Prediction with Machine Learning models/10 -Regression Regularization, Lasso and Ridge models (X).mp4 520.4 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.mp4 507.3 MB
- 4 - Master Regression and Prediction with Machine Learning models/11 -Decision Tree Regression models (XI).mp4 476.0 MB
- 2 - Master Python for data handling/6 -Python Strings and DateTime Objects.mp4 469.6 MB
- 8 - Text Mining and NLP/6 -The Tokenization Process.mp4 444.1 MB
- 4 - Master Regression and Prediction with Machine Learning models/12 -Random Forest Regression (XII).mp4 410.5 MB
- 4 - Master Regression and Prediction with Machine Learning models/9 -Multivariate Polynomial Multiple Regression models (VIIII).mp4 408.8 MB
- 8 - Text Mining and NLP/7 -Spelling correction and stop words.mp4 408.6 MB
- 2 - Master Python for data handling/21 -Python Object Oriented Programming IV Recap and More.mp4 405.9 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).mp4 389.3 MB
- 5 - Master Classification with Machine Learning models/2 -Logistic Regression Classifier.mp4 379.8 MB
- 5 - Master Classification with Machine Learning models/7 -Linear Discriminant Analysis (LDA) [Extra Video].mp4 365.9 MB
- 2 - Master Python for data handling/19 -Python Object Oriented Programming II OOP.mp4 338.7 MB
- 4 - Master Regression and Prediction with Machine Learning models/6 -Linear Multiple Regression model (VI).mp4 338.2 MB
- 1 - Introduction/4 -The Conda Package Management System (optional).mp4 338.1 MB
- 2 - Master Python for data handling/1 -Overview.mp4 335.7 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).mp4 334.5 MB
- 5 - Master Classification with Machine Learning models/6 -The Random Forest Classifier.mp4 331.5 MB
- 5 - Master Classification with Machine Learning models/3 -The Naive Bayes Classifier.mp4 328.3 MB
- 5 - Master Classification with Machine Learning models/4 -K-Nearest Neighbor Classifier (KNN) [Extra Video].mp4 323.3 MB
- 8 - Text Mining and NLP/12 -Attention-based models and Generative Pre-trained Transformer models.mp4 322.0 MB
- 8 - Text Mining and NLP/8 -Lemmatization and Stemming.mp4 319.6 MB
- 4 - Master Regression and Prediction with Machine Learning models/3 -The Traditional Simple Regression Model (III).mp4 317.5 MB
- 3 - Master Pandas for Data Handling/22 -Pandas Data Preparation IV Missing Data & Imputation.mp4 311.9 MB
- 1 - Introduction/1 -Course introduction.mp4 294.2 MB
- 8 - Text Mining and NLP/11 -The N-grams Data Structure.mp4 283.8 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/2 -K-Means Cluster Analysis.mp4 281.2 MB
- 3 - Master Pandas for Data Handling/23 -Pandas Data Preparation V Data Binnings [Extra Video].mp4 273.8 MB
- 5 - Master Classification with Machine Learning models/8 -The Voting Classifier.mp4 266.5 MB
- 2 - Master Python for data handling/14 -Python For Loop.mp4 266.0 MB
- 2 - Master Python for data handling/20 -Python Object Oriented Programming III Files and Tables.mp4 265.9 MB
- 2 - Master Python for data handling/3 -Python Floats.mp4 265.7 MB
- 8 - Text Mining and NLP/9 -The Bag of Words Data Structure and some models.mp4 264.5 MB
- 3 - Master Pandas for Data Handling/34 -Pandas Data Visualization VI Line plots.mp4 264.2 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/1 -Overview.mp4 259.2 MB
- 2 - Master Python for data handling/10 -Python Dictionary.mp4 246.4 MB
- 4 - Master Regression and Prediction with Machine Learning models/13 -Voting Regression (XIII).mp4 244.9 MB
- 2 - Master Python for data handling/13 -Python While Loop.mp4 241.9 MB
- 8 - Text Mining and NLP/10 -The TF-IDF Data Structure and some models.mp4 237.7 MB
- 2 - Master Python for data handling/17 -Python Functions II.mp4 235.1 MB
- 4 - Master Regression and Prediction with Machine Learning models/7 -Linear Multiple Regression model (VII).mp4 233.0 MB
- 2 - Master Python for data handling/11 -Python List.mp4 232.9 MB
- 7 - Advanced Machine Learning models and tasks/2 -Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron.mp4 232.5 MB
- 7 - Advanced Machine Learning models and tasks/4 -Feedforward Multi-Layer Perceptrons for Prediction tasks.mp4 232.1 MB
- 2 - Master Python for data handling/15 -Python Logic Operators.mp4 220.6 MB
- 3 - Master Pandas for Data Handling/33 -Pandas Data Visualization V Pie Charts.mp4 218.9 MB
- 3 - Master Pandas for Data Handling/32 -Pandas Data Visualization IV Scatterplots.mp4 218.2 MB
- 3 - Master Pandas for Data Handling/17 -Pandas Operations & Techniques Merging DataFrames.mp4 211.7 MB
- 6 - Master Cluster Analysis and Unsupervised Learning/5 -Four Hierarchical Clustering algorithms.mp4 210.7 MB
- 3 - Master Pandas for Data Handling/24 -Pandas Data Preparation VI Indicator Features [Extra Video].mp4 208.2 MB
- 3 - Master Pandas for Data Handling/18 -Pandas Operations & Techniques Transpose & Pivot Functions.mp4 205.6 MB
- 8 - Text Mining and NLP/13 -tweet-data_UTF8.csv 203.3 MB
- 3 - Master Pandas for Data Handling/30 -Pandas Data Visualization II Histograms.mp4 202.6 MB
- 2 - Master Python for data handling/5 -Python String Methods.mp4 186.6 MB
- 8 - Text Mining and NLP/5 -Text Indexing Process.mp4 180.3 MB
- 4 - Master Regression and Prediction with Machine Learning models/2 -The Traditional Simple Regression Model (II).mp4 173.6 MB
- 3 - Master Pandas for Data Handling/15 -Pandas Operations & Techniques Concatenate DataFrames.mp4 171.6 MB
- 3 - Master Pandas for Data Handling/28 -Pandas Data Description IV Crosstabulations & Groupings.mp4 171.0 MB
- 2 - Master Python for data handling/8 -Python Set.mp4 168.0 MB
- 2 - Master Python for data handling/18 -Python Object Oriented Programming I Theory.mp4 159.4 MB
- 3 - Master Pandas for Data Handling/27 -Pandas Data Description III Descriptive Statistics.mp4 159.3 MB
- 7 - Advanced Machine Learning models and tasks/3 -Feedforward Multi-Layer Perceptrons for Classification tasks.mp4 157.2 MB
- 3 - Master Pandas for Data Handling/3 -Creating a DataFrame from scratch.mp4 150.6 MB
- 8 - Text Mining and NLP/3 -Text Mining Tasks.mp4 146.8 MB
- 2 - Master Python for data handling/2 -Python Integers.mp4 146.7 MB
- 3 - Master Pandas for Data Handling/21 -Pandas Data Preparation III Duplicates.mp4 145.5 MB
- 2 - Master Python for data handling/9 -Python Tuple.mp4 140.8 MB
- 3 - Master Pandas for Data Handling/6 -Pandas File Handling The .xlsx file format.mp4 139.8 MB
- 1 - Introduction/3 -Download and installation of the Anaconda Distribution (optional).mp4 133.0 MB
- 3 - Master Pandas for Data Handling/31 -Pandas Data Visualization III Boxplots.mp4 132.6 MB
- 1 - Introduction/2 -Setup of the Anaconda Cloud Notebook.mp4 129.2 MB
- 3 - Master Pandas for Data Handling/14 -Pandas Operations & Techniques Scalers and Standardization.mp4 128.5 MB
- 2 - Master Python for data handling/4 -Python Strings.mp4 128.0 MB
- 3 - Master Pandas for Data Handling/26 -Pandas Data Description II Sorting and Ranking.mp4 126.1 MB
- 3 - Master Pandas for Data Handling/13 -Pandas Operations & Techniques Conditional Selections.mp4 125.2 MB
- 3 - Master Pandas for Data Handling/1 -Master Pandas for Data Handling Overview.mp4 124.7 MB
- 4 - Master Regression and Prediction with Machine Learning models/1 -Regression, Prediction, and Supervised Learning. Section Overview (I).mp4 121.8 MB
- 4 - Master Regression and Prediction with Machine Learning models/5 -Some practical and useful modelling concepts (V).mp4 120.2 MB
- 5 - Master Classification with Machine Learning models/1 -Classification and Supervised Learning, overview.mp4 118.3 MB
- 3 - Master Pandas for Data Handling/16 -Pandas Operations & Techniques Joining DataFrames.mp4 114.9 MB
- 4 - Master Regression and Prediction with Machine Learning models/4 -Some practical and useful modelling concepts (IV).mp4 114.6 MB
- 8 - Text Mining and NLP/2 -Text Mining Setup.mp4 114.3 MB
- 3 - Master Pandas for Data Handling/5 -Pandas File Handling The .csv file format.mp4 113.8 MB
- 3 - Master Pandas for Data Handling/2 -Pandas theory and terminology.mp4 111.8 MB
- 3 - Master Pandas for Data Handling/10 -Pandas Operations & Techniques DataFrame Inspection.mp4 106.4 MB
- 3 - Master Pandas for Data Handling/12 -Pandas Operations & Techniques Row Selections.mp4 101.5 MB
- 3 - Master Pandas for Data Handling/11 -Pandas Operations & Techniques Column Selections.mp4 100.6 MB
- 3 - Master Pandas for Data Handling/9 -Pandas Operations & Techniques Object Inspection.mp4 100.5 MB
- 4 - Master Regression and Prediction with Machine Learning models/8 -Multivariate Polynomial Multiple Regression models (VIII).mp4 99.6 MB
- 3 - Master Pandas for Data Handling/20 -Pandas Data Preparation II Edit DataFrame labels.mp4 98.1 MB
- 8 - Text Mining and NLP/1 -Text Mining and NLP introduction and overview.mp4 92.7 MB
- 3 - Master Pandas for Data Handling/7 -Pandas File Handling SQL-database files.mp4 91.8 MB
- 8 - Text Mining and NLP/4 -Text Mining Process.mp4 69.5 MB
- 3 - Master Pandas for Data Handling/19 -Pandas Data Preparation I Overview & workflow.mp4 51.3 MB
- 3 - Master Pandas for Data Handling/29 -Pandas Data Visualization Overview.mp4 38.5 MB
- 2 - Master Python for data handling/12 -Data Transformers and Functions Overview.mp4 37.8 MB
- 3 - Master Pandas for Data Handling/8 -Pandas Operations & Techniques Overview.mp4 32.3 MB
- 2 - Master Python for data handling/7 -Python Data Storage Overview.mp4 32.1 MB
- 2 - Master Python for data handling/16 -Python Functions I.mp4 31.5 MB
- 3 - Master Pandas for Data Handling/25 -Pandas Data Description Overview.mp4 31.0 MB
- 3 - Master Pandas for Data Handling/4 -Pandas File Handling Overview.mp4 22.2 MB
- 7 - Advanced Machine Learning models and tasks/1 -Overview.mp4 15.4 MB
- 8 - Text Mining and NLP/7 -Text_data.csv 5.8 MB
- 8 - Text Mining and NLP/8 -Text_data.csv 5.8 MB
- 8 - Text Mining and NLP/10 -Text_data_analysis.csv 5.1 MB
- 8 - Text Mining and NLP/9 -Text_data_analysis.csv 5.1 MB
- 4 - Master Regression and Prediction with Machine Learning models/6 -DiaB.csv 95.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/7 -DiaB.csv 95.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/9 -DiaB.csv 95.0 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/6 -Diabetes.csv 95.0 KB
- 8 - Text Mining and NLP/13 -Emotion Mining and Sentiment Analysis.vtt 65.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/12 -Random Forest Regression (XII).vtt 64.9 KB
- 3 - Master Pandas for Data Handling/24 -insurance_data.csv 59.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/11 -insurance.csv 59.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/12 -insurance.csv 59.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/13 -insurance.csv 59.8 KB
- 5 - Master Classification with Machine Learning models/5 -insurance.csv 59.8 KB
- 7 - Advanced Machine Learning models and tasks/4 -insurance.csv 59.8 KB
- 5 - Master Classification with Machine Learning models/5 -The Decision Tree Classifier.vtt 57.6 KB
- 4 - Master Regression and Prediction with Machine Learning models/10 -insurance.csv 54.3 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/3 -Auto-updated K-Means Cluster Analysis, introduction and simulation.vtt 53.1 KB
- 4 - Master Regression and Prediction with Machine Learning models/10 -Regression Regularization, Lasso and Ridge models (X).vtt 51.3 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal Component Analysis (PCA).vtt 47.1 KB
- 4 - Master Regression and Prediction with Machine Learning models/11 -Decision Tree Regression models (XI).vtt 47.0 KB
- 2 - Master Python for data handling/21 -Python Object Oriented Programming IV Recap and More.vtt 44.6 KB
- 4 - Master Regression and Prediction with Machine Learning models/13 -Voting Regression (XIII).vtt 43.1 KB
- 4 - Master Regression and Prediction with Machine Learning models/9 -Multivariate Polynomial Multiple Regression models (VIIII).vtt 41.7 KB
- 4 - Master Regression and Prediction with Machine Learning models/6 -Linear Multiple Regression model (VI).vtt 39.6 KB
- 2 - Master Python for data handling/1 -Overview.vtt 39.5 KB
- 2 - Master Python for data handling/6 -Python Strings and DateTime Objects.vtt 39.1 KB
- 5 - Master Classification with Machine Learning models/2 -Logistic Regression Classifier.vtt 38.8 KB
- 5 - Master Classification with Machine Learning models/3 -The Naive Bayes Classifier.vtt 36.9 KB
- 2 - Master Python for data handling/14 -Python For Loop.vtt 35.8 KB
- 5 - Master Classification with Machine Learning models/8 -The Voting Classifier.vtt 35.8 KB
- 5 - Master Classification with Machine Learning models/7 -Linear Discriminant Analysis (LDA) [Extra Video].vtt 34.9 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/4 -Density-Based Spatial Clustering of Applications with Noise (DBSCAN).vtt 34.8 KB
- 3 - Master Pandas for Data Handling/22 -Pandas Data Preparation IV Missing Data & Imputation.vtt 34.8 KB
- 5 - Master Classification with Machine Learning models/6 -The Random Forest Classifier.vtt 34.0 KB
- 5 - Master Classification with Machine Learning models/4 -K-Nearest Neighbor Classifier (KNN) [Extra Video].vtt 31.9 KB
- 3 - Master Pandas for Data Handling/23 -Pandas Data Preparation V Data Binnings [Extra Video].vtt 31.9 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/2 -K-Means Cluster Analysis.vtt 31.4 KB
- 1 - Introduction/4 -The Conda Package Management System (optional).vtt 30.9 KB
- 2 - Master Python for data handling/11 -Python List.vtt 30.3 KB
- 1 - Introduction/1 -Course introduction.vtt 29.9 KB
- 8 - Text Mining and NLP/12 -Attention-based models and Generative Pre-trained Transformer models.vtt 29.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/3 -The Traditional Simple Regression Model (III).vtt 29.8 KB
- 8 - Text Mining and NLP/6 -The Tokenization Process.vtt 29.6 KB
- 2 - Master Python for data handling/13 -Python While Loop.vtt 29.2 KB
- 2 - Master Python for data handling/3 -Python Floats.vtt 28.2 KB
- 8 - Text Mining and NLP/7 -Spelling correction and stop words.vtt 27.5 KB
- 8 - Text Mining and NLP/11 -The N-grams Data Structure.vtt 26.8 KB
- 3 - Master Pandas for Data Handling/30 -Pandas Data Visualization II Histograms.vtt 26.6 KB
- 2 - Master Python for data handling/10 -Python Dictionary.vtt 26.2 KB
- 2 - Master Python for data handling/5 -Python String Methods.vtt 25.6 KB
- 3 - Master Pandas for Data Handling/34 -Pandas Data Visualization VI Line plots.vtt 25.2 KB
- 8 - Text Mining and NLP/9 -The Bag of Words Data Structure and some models.vtt 25.1 KB
- 7 - Advanced Machine Learning models and tasks/4 -Feedforward Multi-Layer Perceptrons for Prediction tasks.vtt 24.8 KB
- 2 - Master Python for data handling/17 -Python Functions II.vtt 24.4 KB
- 3 - Master Pandas for Data Handling/33 -Pandas Data Visualization V Pie Charts.vtt 24.1 KB
- 3 - Master Pandas for Data Handling/18 -Pandas Operations & Techniques Transpose & Pivot Functions.vtt 23.4 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/1 -Overview.vtt 23.2 KB
- 8 - Text Mining and NLP/10 -The TF-IDF Data Structure and some models.vtt 23.0 KB
- 3 - Master Pandas for Data Handling/24 -Pandas Data Preparation VI Indicator Features [Extra Video].vtt 22.5 KB
- 3 - Master Pandas for Data Handling/17 -Pandas Operations & Techniques Merging DataFrames.vtt 21.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/2 -The Traditional Simple Regression Model (II).vtt 21.5 KB
- 3 - Master Pandas for Data Handling/32 -Pandas Data Visualization IV Scatterplots.vtt 21.4 KB
- 4 - Master Regression and Prediction with Machine Learning models/7 -Linear Multiple Regression model (VII).vtt 20.9 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/5 -Four Hierarchical Clustering algorithms.vtt 20.7 KB
- 2 - Master Python for data handling/15 -Python Logic Operators.vtt 20.7 KB
- 8 - Text Mining and NLP/8 -Lemmatization and Stemming.vtt 20.5 KB
- 2 - Master Python for data handling/9 -Python Tuple.vtt 20.3 KB
- 3 - Master Pandas for Data Handling/15 -Pandas Operations & Techniques Concatenate DataFrames.vtt 19.8 KB
- 2 - Master Python for data handling/8 -Python Set.vtt 19.6 KB
- 3 - Master Pandas for Data Handling/31 -Pandas Data Visualization III Boxplots.vtt 19.2 KB
- 3 - Master Pandas for Data Handling/28 -Pandas Data Description IV Crosstabulations & Groupings.vtt 19.1 KB
- 7 - Advanced Machine Learning models and tasks/2 -Artificial Neural Networks, Feedforward Networks, and the Multi-Layer Perceptron.vtt 18.8 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/3 -AU_KMeans_Cluster_Analysis_Simulation.py 18.3 KB
- 2 - Master Python for data handling/2 -Python Integers.vtt 18.2 KB
- 5 - Master Classification with Machine Learning models/1 -Classification and Supervised Learning, overview.vtt 18.1 KB
- 7 - Advanced Machine Learning models and tasks/3 -Feedforward Multi-Layer Perceptrons for Classification tasks.vtt 17.5 KB
- 3 - Master Pandas for Data Handling/27 -Pandas Data Description III Descriptive Statistics.vtt 17.3 KB
- 1 - Introduction/3 -Download and installation of the Anaconda Distribution (optional).vtt 16.7 KB
- 2 - Master Python for data handling/4 -Python Strings.vtt 16.4 KB
- 5 - Master Classification with Machine Learning models/4 -penguins.csv 16.2 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/3 -penguins.csv 16.2 KB
- 3 - Master Pandas for Data Handling/26 -Pandas Data Description II Sorting and Ranking.vtt 16.2 KB
- 3 - Master Pandas for Data Handling/6 -Pandas File Handling The .xlsx file format.vtt 15.8 KB
- 3 - Master Pandas for Data Handling/3 -Creating a DataFrame from scratch.vtt 15.6 KB
- 2 - Master Python for data handling/20 -Python Object Oriented Programming III Files and Tables.vtt 15.5 KB
- 5 - Master Classification with Machine Learning models/8 -Voting Classifier.py 15.4 KB
- 3 - Master Pandas for Data Handling/21 -Pandas Data Preparation III Duplicates.vtt 15.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/12 -Random_Forest_regression.py 14.8 KB
- 2 - Master Python for data handling/19 -Python Object Oriented Programming II OOP.vtt 14.6 KB
- 3 - Master Pandas for Data Handling/11 -Pandas Operations & Techniques Column Selections.vtt 14.5 KB
- 3 - Master Pandas for Data Handling/16 -Pandas Operations & Techniques Joining DataFrames.vtt 14.2 KB
- 8 - Text Mining and NLP/5 -Text Indexing Process.vtt 13.9 KB
- 4 - Master Regression and Prediction with Machine Learning models/4 -Some practical and useful modelling concepts (IV).vtt 13.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/5 -Some practical and useful modelling concepts (V).vtt 13.7 KB
- 3 - Master Pandas for Data Handling/1 -Master Pandas for Data Handling Overview.vtt 13.6 KB
- 3 - Master Pandas for Data Handling/13 -Pandas Operations & Techniques Conditional Selections.vtt 13.3 KB
- 3 - Master Pandas for Data Handling/9 -Pandas Operations & Techniques Object Inspection.vtt 13.2 KB
- 1 - Introduction/2 -Setup of the Anaconda Cloud Notebook.vtt 12.9 KB
- 3 - Master Pandas for Data Handling/14 -Pandas Operations & Techniques Scalers and Standardization.vtt 12.8 KB
- 5 - Master Classification with Machine Learning models/7 -wine.csv 12.7 KB
- 2 - Master Python for data handling/18 -Python Object Oriented Programming I Theory.vtt 12.4 KB
- 3 - Master Pandas for Data Handling/12 -Pandas Operations & Techniques Row Selections.vtt 12.3 KB
- 8 - Text Mining and NLP/3 -Text Mining Tasks.vtt 12.2 KB
- 3 - Master Pandas for Data Handling/2 -Pandas theory and terminology.vtt 12.2 KB
- 8 - Text Mining and NLP/13 -Emotion_Mining.py 11.9 KB
- 3 - Master Pandas for Data Handling/5 -Pandas File Handling The .csv file format.vtt 11.8 KB
- 3 - Master Pandas for Data Handling/10 -Pandas Operations & Techniques DataFrame Inspection.vtt 11.4 KB
- 4 - Master Regression and Prediction with Machine Learning models/1 -Regression, Prediction, and Supervised Learning. Section Overview (I).vtt 11.3 KB
- 8 - Text Mining and NLP/2 -Text Mining Setup.vtt 11.3 KB
- 3 - Master Pandas for Data Handling/20 -Pandas Data Preparation II Edit DataFrame labels.vtt 10.9 KB
- 3 - Master Pandas for Data Handling/7 -Pandas File Handling SQL-database files.vtt 10.9 KB
- 3 - Master Pandas for Data Handling/23 -geyser.xlsx 10.7 KB
- 8 - Text Mining and NLP/1 -Text Mining and NLP introduction and overview.vtt 10.2 KB
- 4 - Master Regression and Prediction with Machine Learning models/8 -Multivariate Polynomial Multiple Regression models (VIII).vtt 10.0 KB
- 5 - Master Classification with Machine Learning models/5 -Decision_Tree_Classification.py 9.5 KB
- 5 - Master Classification with Machine Learning models/7 -Linear_Discriminant_Analysis.py 9.2 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/6 -Principal_Component_Analysis.py 9.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/10 -Regularization_Ridge_Lasso_Regression.py 8.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/13 -Voting_Regression_Ensemble.py 8.1 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/4 -DBscan.py 8.1 KB
- 2 - Master Python for data handling/6 -Python_DateTime.py 7.9 KB
- 7 - Advanced Machine Learning models and tasks/4 -MLP_Prediction.py 7.7 KB
- 5 - Master Classification with Machine Learning models/6 -Random_Forest_Classifier.py 6.6 KB
- 2 - Master Python for data handling/20 -Python_OOP3.py 6.4 KB
- 2 - Master Python for data handling/21 -Python_OOP4_Recap.py 6.4 KB
- 3 - Master Pandas for Data Handling/19 -Pandas Data Preparation I Overview & workflow.vtt 6.1 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/2 -KMeans_Cluster_analysis.py 6.0 KB
- 4 - Master Regression and Prediction with Machine Learning models/11 -DecisionTree_regression.py 5.8 KB
- 5 - Master Classification with Machine Learning models/4 -KNN_classifier.py 5.7 KB
- 5 - Master Classification with Machine Learning models/3 -Naive_Bayes_Gaussian.py 5.6 KB
- 4 - Master Regression and Prediction with Machine Learning models/9 -Mult_poly_regr.py 5.6 KB
- 8 - Text Mining and NLP/4 -Text Mining Process.vtt 5.5 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/5 -agglo_clustering.py 5.3 KB
- 2 - Master Python for data handling/12 -Data Transformers and Functions Overview.vtt 5.1 KB
- 3 - Master Pandas for Data Handling/23 -geyser.csv 5.0 KB
- 3 - Master Pandas for Data Handling/6 -Carsales.xlsx 5.0 KB
- 2 - Master Python for data handling/14 -python_for_loop.py 4.9 KB
- 2 - Master Python for data handling/7 -Python Data Storage Overview.vtt 4.7 KB
- 2 - Master Python for data handling/19 -Python_OOP_II.py 4.5 KB
- 3 - Master Pandas for Data Handling/22 -Pandas_missing_vals_imputation.py 4.4 KB
- 5 - Master Classification with Machine Learning models/2 -Logistic_Regression_Classifier.py 4.4 KB
- 2 - Master Python for data handling/16 -Python Functions I.vtt 4.3 KB
- 2 - Master Python for data handling/3 -Python_Float.py 4.2 KB
- 2 - Master Python for data handling/10 -python_dictionary.py 4.1 KB
- 8 - Text Mining and NLP/6 -Text_Mining_Tokenization.py 4.0 KB
- 2 - Master Python for data handling/11 -Pyton_list.py 3.7 KB
- 2 - Master Python for data handling/13 -python_while_loop.py 3.7 KB
- 3 - Master Pandas for Data Handling/29 -Pandas Data Visualization Overview.vtt 3.7 KB
- 3 - Master Pandas for Data Handling/8 -Pandas Operations & Techniques Overview.vtt 3.5 KB
- 5 - Master Classification with Machine Learning models/2 -iris.csv 3.3 KB
- 5 - Master Classification with Machine Learning models/3 -iris.csv 3.3 KB
- 5 - Master Classification with Machine Learning models/6 -iris.csv 3.3 KB
- 5 - Master Classification with Machine Learning models/8 -iris.csv 3.3 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/2 -iris.csv 3.3 KB
- 6 - Master Cluster Analysis and Unsupervised Learning/6 -iris.csv 3.3 KB
- 7 - Advanced Machine Learning models and tasks/3 -iris.csv 3.3 KB
- 7 - Advanced Machine Learning models and tasks/3 -MLP_Classifier.py 3.1 KB
- 3 - Master Pandas for Data Handling/4 -Pandas File Handling Overview.vtt 3.1 KB
- 2 - Master Python for data handling/9 -python_tuple.py 2.8 KB
- 3 - Master Pandas for Data Handling/25 -Pandas Data Description Overview.vtt 2.8 KB
- 4 - Master Regression and Prediction with Machine Learning models/8 -Linear_Multiple_Regression_Forward_Selection.py 2.3 KB
- 4 - Master Regression and Prediction with Machine Learning models/6 -Multiple_Linear_Regression.py 2.2 KB
- 2 - Master Python for data handling/8 -Python_Set.py 2.0 KB
- 2 - Master Python for data handling/5 -Python_String_Methods.py 2.0 KB
- 8 - Text Mining and NLP/2 -Text_mining_Environment.txt 1.8 KB
- 2 - Master Python for data handling/4 -Python_Strings.py 1.8 KB
- 3 - Master Pandas for Data Handling/17 -Pandas_Ops_Tech_Merge_dataset.py 1.7 KB
- 2 - Master Python for data handling/15 -python_some_logic_operators.py 1.7 KB
- 7 - Advanced Machine Learning models and tasks/1 -Overview.vtt 1.6 KB
- 3 - Master Pandas for Data Handling/15 -DataFrames.py 1.5 KB
- 2 - Master Python for data handling/2 -Python_Integer.py 1.5 KB
- 3 - Master Pandas for Data Handling/16 -Pandas_Ops_Tech_Join_DF.py 1.2 KB
- 3 - Master Pandas for Data Handling/18 -Pandas_T_pivot_Dataset.py 1.0 KB
- 3 - Master Pandas for Data Handling/24 -Indicator_Features.py 647 bytes
- 4 - Master Regression and Prediction with Machine Learning models/3 -Regression_III.py 557 bytes
- 3 - Master Pandas for Data Handling/5 -Carsales.py 478 bytes
- 3 - Master Pandas for Data Handling/6 -Carsales.py 478 bytes
- 3 - Master Pandas for Data Handling/7 -Carsales.py 478 bytes
- 2 - Master Python for data handling/21 -Text_file.txt 233 bytes
- 3 - Master Pandas for Data Handling/5 -Carsales.csv 124 bytes
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