GigaCourse Com Udemy Machine Learning AI Python ChatGPT Bonus 2023 |
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[GigaCourse.Com] Udemy - Machine Learning A-Z™ AI, Python & R + ChatGPT Bonus [2023] |
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11.3 GB |
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Total Files |
748 |
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Last Seen |
2025-08-05 23:56 |
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Hash |
7319748660D34DACAA0DBBDEF0D0E63962864FDA |
/0. Websites you may like/ |
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/01 - Welcome to the course! Here we will help you get started in the best conditions/ |
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/02 - -------------------- Part 1 Data Preprocessing --------------------/ |
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/03 - Data Preprocessing in Python/ |
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007 For Python learners, summary of Object-oriented programming classes & objects.html |
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013 Splitting the dataset into the Training set and Test set - Step 1.mp4 |
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013 Splitting the dataset into the Training set and Test set - Step 1_en.srt |
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014 Splitting the dataset into the Training set and Test set - Step 2.mp4 |
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014 Splitting the dataset into the Training set and Test set - Step 2_en.srt |
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015 Splitting the dataset into the Training set and Test set - Step 3.mp4 |
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/04 - Data Preprocessing in R/ |
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006 Splitting the dataset into the Training set and Test set - Step 1.mp4 |
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007 Splitting the dataset into the Training set and Test set - Step 2.mp4 |
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/05 - -------------------- Part 2 Regression --------------------/ |
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/06 - Simple Linear Regression/ |
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010 Simple Linear Regression in Python - Additional Lecture.html |
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/07 - Multiple Linear Regression/ |
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016 Multiple Linear Regression in Python - Backward Elimination.html |
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017 Multiple Linear Regression in Python - EXTRA CONTENT.html |
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023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 |
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023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !_en.srt |
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024 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 |
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024 Multiple Linear Regression in R - Backward Elimination - Homework Solution_en.srt |
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025 Multiple Linear Regression in R - Automatic Backward Elimination.html |
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/08 - Polynomial Regression/ |
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/09 - Support Vector Regression (SVR)/ |
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/10 - Decision Tree Regression/ |
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/11 - Random Forest Regression/ |
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/12 - Evaluating Regression Models Performance/ |
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/13 - Regression Model Selection in Python/ |
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001 Make sure you have this Model Selection folder ready.html |
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002 Preparation of the Regression Code Templates - Step 1.mp4 |
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002 Preparation of the Regression Code Templates - Step 1_en.srt |
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003 Preparation of the Regression Code Templates - Step 2.mp4 |
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003 Preparation of the Regression Code Templates - Step 2_en.srt |
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004 Preparation of the Regression Code Templates - Step 3.mp4 |
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004 Preparation of the Regression Code Templates - Step 3_en.srt |
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005 Preparation of the Regression Code Templates - Step 4.mp4 |
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005 Preparation of the Regression Code Templates - Step 4_en.srt |
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006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1.mp4 |
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006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1_en.srt |
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007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2.mp4 |
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007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2_en.srt |
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/14 - Regression Model Selection in R/ |
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001 Evaluating Regression Models Performance - Homework's Final Part.mp4 |
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/15 - -------------------- Part 3 Classification --------------------/ |
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/16 - Logistic Regression/ |
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018 Logistic Regression in Python - Step 7 (Colour-blind friendly image).html |
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027 Logistic Regression in R - Step 5 (Colour-blind friendly image).html |
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029 Machine Learning Regression and Classification BONUS.html |
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030 EXTRA CONTENT Logistic Regression Practical Case Study.html |
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/17 - K-Nearest Neighbors (K-NN)/ |
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/18 - Support Vector Machine (SVM)/ |
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/19 - Kernel SVM/ |
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/20 - Naive Bayes/ |
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/21 - Decision Tree Classification/ |
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/22 - Random Forest Classification/ |
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/23 - Classification Model Selection in Python/ |
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001 Make sure you have this Model Selection folder ready.html |
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003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1.mp4 |
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003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1_en.srt |
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004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2.mp4 |
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004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2_en.srt |
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005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3.mp4 |
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005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3_en.srt |
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006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4.mp4 |
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006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4_en.srt |
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/24 - Evaluating Classification Models Performance/ |
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/25 - -------------------- Part 4 Clustering --------------------/ |
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/26 - K-Means Clustering/ |
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001 What is Clustering (Supervised vs Unsupervised Learning).mp4 |
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001 What is Clustering (Supervised vs Unsupervised Learning)_en.srt |
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/27 - Hierarchical Clustering/ |
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/28 - -------------------- Part 5 Association Rule Learning --------------------/ |
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/29 - Apriori/ |
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/30 - Eclat/ |
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/31 - -------------------- Part 6 Reinforcement Learning --------------------/ |
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/32 - Upper Confidence Bound (UCB)/ |
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/33 - Thompson Sampling/ |
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/34 - -------------------- Part 7 Natural Language Processing --------------------/ |
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/35 - -------------------- Part 8 Deep Learning --------------------/ |
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/36 - Artificial Neural Networks/ |
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/37 - Convolutional Neural Networks/ |
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6.5 MB |
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232.0 MB |
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74.5 MB |
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29.4 KB |
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68.8 MB |
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21.6 MB |
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91.7 MB |
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61.4 MB |
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11.3 MB |
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7.8 KB |
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44.2 MB |
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33.4 MB |
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104.9 MB |
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34.4 KB |
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67.4 MB |
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32.9 KB |
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13.9 KB |
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89.0 MB |
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27.2 KB |
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117.5 MB |
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/38 - -------------------- Part 9 Dimensionality Reduction --------------------/ |
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1.4 KB |
/39 - Principal Component Analysis (PCA)/ |
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22.0 MB |
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6.6 KB |
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90.2 MB |
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30.8 KB |
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21.8 MB |
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10.7 KB |
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105.5 MB |
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68.5 MB |
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24.9 KB |
/40 - Linear Discriminant Analysis (LDA)/ |
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15.8 MB |
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79.1 MB |
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27.0 KB |
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98.2 MB |
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36.4 KB |
/41 - Kernel PCA/ |
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59.7 MB |
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19.9 KB |
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239.9 MB |
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38.2 KB |
/42 - -------------------- Part 10 Model Selection & Boosting --------------------/ |
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0.9 KB |
/43 - Model Selection/ |
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65.1 MB |
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33.4 KB |
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120.0 MB |
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39.4 KB |
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55.9 MB |
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36.2 KB |
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52.5 MB |
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26.6 KB |
/44 - XGBoost/ |
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88.3 MB |
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72.7 MB |
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31.8 KB |
/45 - Exclusive Offer/ |
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4.6 KB |
/46 - Annex Logistic Regression (Long Explanation)/ |
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34.0 MB |
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/ |
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Total files 748 |
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