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Language:
English
Total Size:
10.5 GB
Info Hash:
482E410D91653553D95FBDAC5DE8375114CDA697
Added By:
Added:
Aug. 5, 2023, 5:43 p.m.
Stats:
|
(Last updated: May 21, 2025, 8:15 a.m.)
| File | Size |
|---|---|
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Welcome Challenge!.html | 3.0 KB |
| 002 Machine Learning Demo - Get Excited!.mp4 | 50.8 MB |
| 002 Machine Learning Demo - Get Excited!_en.srt | 9.1 KB |
| 003 Get all the Datasets, Codes and Slides here.html | 442 bytes |
| 004 How to use the ML A-Z folder & Google Colab.mp4 | 25.6 MB |
| 004 How to use the ML A-Z folder & Google Colab_en.srt | 11.7 KB |
| 005 Installing R and R Studio (Mac, Linux & Windows).mp4 | 33.6 MB |
| 005 Installing R and R Studio (Mac, Linux & Windows)_en.srt | 10.4 KB |
| 006 BONUS Use ChatGPT to Boost your ML Skills.html | 1022 bytes |
| 001 Welcome to Part 1 - Data Preprocessing.html | 531 bytes |
| 002 The Machine Learning process.mp4 | 8.0 MB |
| 002 The Machine Learning process_en.srt | 3.0 KB |
| 003 Splitting the data into a Training and Test set.mp4 | 5.4 MB |
| 003 Splitting the data into a Training and Test set_en.srt | 3.5 KB |
| 004 Feature Scaling.mp4 | 14.0 MB |
| 004 Feature Scaling_en.srt | 12.0 KB |
| 001 Getting Started - Step 1.mp4 | 10.8 MB |
| 001 Getting Started - Step 1_en.srt | 10.6 KB |
| 002 Getting Started - Step 2.mp4 | 35.1 MB |
| 002 Getting Started - Step 2_en.srt | 10.0 KB |
| 003 Importing the Libraries.mp4 | 7.5 MB |
| 003 Importing the Libraries_en.srt | 7.1 KB |
| 004 Importing the Dataset - Step 1.mp4 | 12.5 MB |
| 004 Importing the Dataset - Step 1_en.srt | 10.3 KB |
| 005 Importing the Dataset - Step 2.mp4 | 9.8 MB |
| 005 Importing the Dataset - Step 2_en.srt | 8.5 KB |
| 006 Importing the Dataset - Step 3.mp4 | 13.9 MB |
| 006 Importing the Dataset - Step 3_en.srt | 11.0 KB |
| 007 For Python learners, summary of Object-oriented programming classes & objects.html | 1.5 KB |
| 008 Taking care of Missing Data - Step 1.mp4 | 16.1 MB |
| 008 Taking care of Missing Data - Step 1_en.srt | 13.3 KB |
| 009 Taking care of Missing Data - Step 2.mp4 | 29.4 MB |
| 009 Taking care of Missing Data - Step 2_en.srt | 10.5 KB |
| 010 Encoding Categorical Data - Step 1.mp4 | 13.4 MB |
| 010 Encoding Categorical Data - Step 1_en.srt | 7.7 KB |
| 011 Encoding Categorical Data - Step 2.mp4 | 19.7 MB |
| 011 Encoding Categorical Data - Step 2_en.srt | 10.7 KB |
| 012 Encoding Categorical Data - Step 3.mp4 | 14.1 MB |
| 012 Encoding Categorical Data - Step 3_en.srt | 8.1 KB |
| 013 Splitting the dataset into the Training set and Test set - Step 1.mp4 | 10.3 MB |
| 013 Splitting the dataset into the Training set and Test set - Step 1_en.srt | 7.1 KB |
| 014 Splitting the dataset into the Training set and Test set - Step 2.mp4 | 13.7 MB |
| 014 Splitting the dataset into the Training set and Test set - Step 2_en.srt | 10.6 KB |
| 015 Splitting the dataset into the Training set and Test set - Step 3.mp4 | 11.6 MB |
| 015 Splitting the dataset into the Training set and Test set - Step 3_en.srt | 6.7 KB |
| 016 Feature Scaling - Step 1.mp4 | 13.1 MB |
| 016 Feature Scaling - Step 1_en.srt | 10.9 KB |
| 017 Feature Scaling - Step 2.mp4 | 11.7 MB |
| 017 Feature Scaling - Step 2_en.srt | 8.7 KB |
| 018 Feature Scaling - Step 3.mp4 | 11.2 MB |
| 018 Feature Scaling - Step 3_en.srt | 7.1 KB |
| 019 Feature Scaling - Step 4.mp4 | 16.9 MB |
| 019 Feature Scaling - Step 4_en.srt | 11.1 KB |
| 001 Getting Started.mp4 | 4.1 MB |
| 001 Getting Started_en.srt | 3.1 KB |
| 002 Dataset Description.mp4 | 6.4 MB |
| 002 Dataset Description_en.srt | 3.8 KB |
| 003 Importing the Dataset.mp4 | 6.9 MB |
| 003 Importing the Dataset_en.srt | 4.9 KB |
| 004 Taking care of Missing Data.mp4 | 21.4 MB |
| 004 Taking care of Missing Data_en.srt | 10.6 KB |
| 005 Encoding Categorical Data.mp4 | 63.9 MB |
| 005 Encoding Categorical Data_en.srt | 10.2 KB |
| 006 Splitting the dataset into the Training set and Test set - Step 1.mp4 | 16.6 MB |
| 006 Splitting the dataset into the Training set and Test set - Step 1_en.srt | 9.3 KB |
| 007 Splitting the dataset into the Training set and Test set - Step 2.mp4 | 19.7 MB |
| 007 Splitting the dataset into the Training set and Test set - Step 2_en.srt | 9.0 KB |
| 008 Feature Scaling - Step 1.mp4 | 22.8 MB |
| 008 Feature Scaling - Step 1_en.srt | 7.7 KB |
| 009 Feature Scaling - Step 2.mp4 | 36.3 MB |
| 009 Feature Scaling - Step 2_en.srt | 8.1 KB |
| 010 Data Preprocessing Template.mp4 | 22.6 MB |
| 010 Data Preprocessing Template_en.srt | 10.9 KB |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Welcome to Part 2 - Regression.html | 829 bytes |
| 001 Simple Linear Regression Intuition.mp4 | 5.0 MB |
| 001 Simple Linear Regression Intuition_en.srt | 4.1 KB |
| 002 Ordinary Least Squares.mp4 | 12.7 MB |
| 002 Ordinary Least Squares_en.srt | 5.8 KB |
| 003 Simple Linear Regression in Python - Step 1a.mp4 | 8.7 MB |
| 003 Simple Linear Regression in Python - Step 1a_en.srt | 11.2 KB |
| 004 Simple Linear Regression in Python - Step 1b.mp4 | 14.5 MB |
| 004 Simple Linear Regression in Python - Step 1b_en.srt | 11.2 KB |
| 005 Simple Linear Regression in Python - Step 2a.mp4 | 8.5 MB |
| 005 Simple Linear Regression in Python - Step 2a_en.srt | 7.2 KB |
| 006 Simple Linear Regression in Python - Step 2b.mp4 | 10.9 MB |
| 006 Simple Linear Regression in Python - Step 2b_en.srt | 8.0 KB |
| 007 Simple Linear Regression in Python - Step 3.mp4 | 21.0 MB |
| 007 Simple Linear Regression in Python - Step 3_en.srt | 8.9 KB |
| 008 Simple Linear Regression in Python - Step 4a.mp4 | 17.7 MB |
| 008 Simple Linear Regression in Python - Step 4a_en.srt | 10.6 KB |
| 009 Simple Linear Regression in Python - Step 4b.mp4 | 19.4 MB |
| 009 Simple Linear Regression in Python - Step 4b_en.srt | 11.1 KB |
| 010 Simple Linear Regression in Python - Additional Lecture.html | 1.1 KB |
| 011 Simple Linear Regression in R - Step 1.mp4 | 11.3 MB |
| 011 Simple Linear Regression in R - Step 1_en.srt | 7.4 KB |
| 012 Simple Linear Regression in R - Step 2.mp4 | 19.1 MB |
| 012 Simple Linear Regression in R - Step 2_en.srt | 8.6 KB |
| 013 Simple Linear Regression in R - Step 3.mp4 | 14.6 MB |
| 013 Simple Linear Regression in R - Step 3_en.srt | 5.3 KB |
| 014 Simple Linear Regression in R - Step 4a.mp4 | 29.0 MB |
| 014 Simple Linear Regression in R - Step 4a_en.srt | 9.8 KB |
| 015 Simple Linear Regression in R - Step 4b.mp4 | 20.7 MB |
| 015 Simple Linear Regression in R - Step 4b_en.srt | 9.4 KB |
| 001 Dataset + Business Problem Description.mp4 | 14.1 MB |
| 001 Dataset + Business Problem Description_en.srt | 5.5 KB |
| 002 Multiple Linear Regression Intuition.mp4 | 8.4 MB |
| 002 Multiple Linear Regression Intuition_en.srt | 4.5 KB |
| 003 Assumptions of Linear Regression.mp4 | 24.6 MB |
| 003 Assumptions of Linear Regression_en.srt | 8.8 KB |
| 003 Download-the-PDF.url | 68 bytes |
| 004 Multiple Linear Regression Intuition - Step 3.mp4 | 19.0 MB |
| 004 Multiple Linear Regression Intuition - Step 3_en.srt | 10.3 KB |
| 005 Multiple Linear Regression Intuition - Step 4.mp4 | 16.5 MB |
| 005 Multiple Linear Regression Intuition - Step 4_en.srt | 3.4 KB |
| 006 Understanding the P-Value.mp4 | 23.2 MB |
| 006 Understanding the P-Value_en.srt | 22.0 KB |
| 007 Multiple Linear Regression Intuition - Step 5.mp4 | 33.4 MB |
| 007 Multiple Linear Regression Intuition - Step 5_en.srt | 22.7 KB |
| 008 Multiple Linear Regression in Python - Step 1a.mp4 | 18.9 MB |
| 008 Multiple Linear Regression in Python - Step 1a_en.srt | 10.8 KB |
| 009 Multiple Linear Regression in Python - Step 1b.mp4 | 12.3 MB |
| 009 Multiple Linear Regression in Python - Step 1b_en.srt | 4.8 KB |
| 010 Multiple Linear Regression in Python - Step 2a.mp4 | 28.5 MB |
| 010 Multiple Linear Regression in Python - Step 2a_en.srt | 8.7 KB |
| 011 Multiple Linear Regression in Python - Step 2b.mp4 | 38.1 MB |
| 011 Multiple Linear Regression in Python - Step 2b_en.srt | 10.2 KB |
| 012 Multiple Linear Regression in Python - Step 3a.mp4 | 14.7 MB |
| 012 Multiple Linear Regression in Python - Step 3a_en.srt | 11.3 KB |
| 013 Multiple Linear Regression in Python - Step 3b.mp4 | 14.6 MB |
| 013 Multiple Linear Regression in Python - Step 3b_en.srt | 8.7 KB |
| 014 Multiple Linear Regression in Python - Step 4a.mp4 | 39.0 MB |
| 014 Multiple Linear Regression in Python - Step 4a_en.srt | 10.8 KB |
| 015 Multiple Linear Regression in Python - Step 4b.mp4 | 14.2 MB |
| 015 Multiple Linear Regression in Python - Step 4b_en.srt | 9.5 KB |
| 016 Multiple Linear Regression in Python - Backward Elimination.html | 3.5 KB |
| 017 Multiple Linear Regression in Python - EXTRA CONTENT.html | 1.2 KB |
| 018 Multiple Linear Regression in R - Step 1a.mp4 | 10.6 MB |
| 018 Multiple Linear Regression in R - Step 1a_en.srt | 6.8 KB |
| 019 Multiple Linear Regression in R - Step 1b.mp4 | 14.7 MB |
| 019 Multiple Linear Regression in R - Step 1b_en.srt | 6.4 KB |
| 020 Multiple Linear Regression in R - Step 2a.mp4 | 26.7 MB |
| 020 Multiple Linear Regression in R - Step 2a_en.srt | 9.5 KB |
| 021 Multiple Linear Regression in R - Step 2b.mp4 | 17.7 MB |
| 021 Multiple Linear Regression in R - Step 2b_en.srt | 7.7 KB |
| 022 Multiple Linear Regression in R - Step 3.mp4 | 14.3 MB |
| 022 Multiple Linear Regression in R - Step 3_en.srt | 6.8 KB |
| 023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 | 64.5 MB |
| 023 Multiple Linear Regression in R - Backward Elimination - HOMEWORK !_en.srt | 26.5 KB |
| 024 Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 | 32.5 MB |
| 024 Multiple Linear Regression in R - Backward Elimination - Homework Solution_en.srt | 11.4 KB |
| 025 Multiple Linear Regression in R - Automatic Backward Elimination.html | 752 bytes |
| external-links.txt | 70 bytes |
| 001 Polynomial Regression Intuition.mp4 | 8.6 MB |
| 001 Polynomial Regression Intuition_en.srt | 7.5 KB |
| 002 Polynomial Regression in Python - Step 1a.mp4 | 7.5 MB |
| 002 Polynomial Regression in Python - Step 1a_en.srt | 8.4 KB |
| 003 Polynomial Regression in Python - Step 1b.mp4 | 19.7 MB |
| 003 Polynomial Regression in Python - Step 1b_en.srt | 11.3 KB |
| 004 Polynomial Regression in Python - Step 2a.mp4 | 16.5 MB |
| 004 Polynomial Regression in Python - Step 2a_en.srt | 11.4 KB |
| 005 Polynomial Regression in Python - Step 2b.mp4 | 18.0 MB |
| 005 Polynomial Regression in Python - Step 2b_en.srt | 10.7 KB |
| 006 Polynomial Regression in Python - Step 3a.mp4 | 19.7 MB |
| 006 Polynomial Regression in Python - Step 3a_en.srt | 10.9 KB |
| 007 Polynomial Regression in Python - Step 3b.mp4 | 18.3 MB |
| 007 Polynomial Regression in Python - Step 3b_en.srt | 10.5 KB |
| 008 Polynomial Regression in Python - Step 4a.mp4 | 11.2 MB |
| 008 Polynomial Regression in Python - Step 4a_en.srt | 6.9 KB |
| 009 Polynomial Regression in Python - Step 4b.mp4 | 9.0 MB |
| 009 Polynomial Regression in Python - Step 4b_en.srt | 6.8 KB |
| 010 Polynomial Regression in R - Step 1a.mp4 | 16.8 MB |
| 010 Polynomial Regression in R - Step 1a_en.srt | 6.8 KB |
| 011 Polynomial Regression in R - Step 1b.mp4 | 13.7 MB |
| 011 Polynomial Regression in R - Step 1b_en.srt | 6.7 KB |
| 012 Polynomial Regression in R - Step 2a.mp4 | 14.5 MB |
| 012 Polynomial Regression in R - Step 2a_en.srt | 8.5 KB |
| 013 Polynomial Regression in R - Step 2b.mp4 | 23.9 MB |
| 013 Polynomial Regression in R - Step 2b_en.srt | 8.7 KB |
| 014 Polynomial Regression in R - Step 3a.mp4 | 20.7 MB |
| 014 Polynomial Regression in R - Step 3a_en.srt | 8.9 KB |
| 015 Polynomial Regression in R - Step 3b.mp4 | 19.5 MB |
| 015 Polynomial Regression in R - Step 3b_en.srt | 9.9 KB |
| 016 Polynomial Regression in R - Step 3c.mp4 | 16.2 MB |
| 016 Polynomial Regression in R - Step 3c_en.srt | 10.3 KB |
| 017 Polynomial Regression in R - Step 4a.mp4 | 15.0 MB |
| 017 Polynomial Regression in R - Step 4a_en.srt | 6.7 KB |
| 018 Polynomial Regression in R - Step 4b.mp4 | 14.3 MB |
| 018 Polynomial Regression in R - Step 4b_en.srt | 7.5 KB |
| 019 R Regression Template - Step 1.mp4 | 20.6 MB |
| 019 R Regression Template - Step 1_en.srt | 11.0 KB |
| 020 R Regression Template - Step 2.mp4 | 13.6 MB |
| 020 R Regression Template - Step 2_en.srt | 9.6 KB |
| 001 SVR Intuition (Updated!).mp4 | 36.8 MB |
| 001 SVR Intuition (Updated!)_en.srt | 14.7 KB |
| 002 Heads-up on non-linear SVR.mp4 | 19.8 MB |
| 002 Heads-up on non-linear SVR_en.srt | 7.3 KB |
| 003 SVR in Python - Step 1a.mp4 | 12.1 MB |
| 003 SVR in Python - Step 1a_en.srt | 10.6 KB |
| 004 SVR in Python - Step 1b.mp4 | 9.5 MB |
| 004 SVR in Python - Step 1b_en.srt | 7.0 KB |
| 005 SVR in Python - Step 2a.mp4 | 17.2 MB |
| 005 SVR in Python - Step 2a_en.srt | 10.2 KB |
| 006 SVR in Python - Step 2b.mp4 | 15.0 MB |
| 006 SVR in Python - Step 2b_en.srt | 8.6 KB |
| 007 SVR in Python - Step 2c.mp4 | 8.5 MB |
| 007 SVR in Python - Step 2c_en.srt | 5.8 KB |
| 008 SVR in Python - Step 3.mp4 | 26.9 MB |
| 008 SVR in Python - Step 3_en.srt | 12.4 KB |
| 009 SVR in Python - Step 4.mp4 | 10.9 MB |
| 009 SVR in Python - Step 4_en.srt | 6.7 KB |
| 010 SVR in Python - Step 5a.mp4 | 11.5 MB |
| 010 SVR in Python - Step 5a_en.srt | 6.7 KB |
| 011 SVR in Python - Step 5b.mp4 | 24.7 MB |
| 011 SVR in Python - Step 5b_en.srt | 7.0 KB |
| 012 SVR in R - Step 1.mp4 | 17.2 MB |
| 012 SVR in R - Step 1_en.srt | 10.3 KB |
| 013 SVR in R - Step 2.mp4 | 13.4 MB |
| 013 SVR in R - Step 2_en.srt | 9.5 KB |
| 001 Decision Tree Regression Intuition.mp4 | 23.2 MB |
| 001 Decision Tree Regression Intuition_en.srt | 16.4 KB |
| 002 Decision Tree Regression in Python - Step 1a.mp4 | 9.3 MB |
| 002 Decision Tree Regression in Python - Step 1a_en.srt | 8.6 KB |
| 003 Decision Tree Regression in Python - Step 1b.mp4 | 11.1 MB |
| 003 Decision Tree Regression in Python - Step 1b_en.srt | 7.3 KB |
| 004 Decision Tree Regression in Python - Step 2.mp4 | 12.2 MB |
| 004 Decision Tree Regression in Python - Step 2_en.srt | 9.8 KB |
| 005 Decision Tree Regression in Python - Step 3.mp4 | 8.4 MB |
| 005 Decision Tree Regression in Python - Step 3_en.srt | 6.2 KB |
| 006 Decision Tree Regression in Python - Step 4.mp4 | 11.7 MB |
| 006 Decision Tree Regression in Python - Step 4_en.srt | 9.0 KB |
| 007 Decision Tree Regression in R - Step 1.mp4 | 16.7 MB |
| 007 Decision Tree Regression in R - Step 1_en.srt | 9.2 KB |
| 008 Decision Tree Regression in R - Step 2.mp4 | 64.4 MB |
| 008 Decision Tree Regression in R - Step 2_en.srt | 10.4 KB |
| 009 Decision Tree Regression in R - Step 3.mp4 | 10.3 MB |
| 009 Decision Tree Regression in R - Step 3_en.srt | 9.3 KB |
| 010 Decision Tree Regression in R - Step 4.mp4 | 11.7 MB |
| 010 Decision Tree Regression in R - Step 4_en.srt | 6.8 KB |
| 001 Random Forest Regression Intuition.mp4 | 35.8 MB |
| 001 Random Forest Regression Intuition_en.srt | 9.9 KB |
| 002 Random Forest Regression in Python - Step 1.mp4 | 17.5 MB |
| 002 Random Forest Regression in Python - Step 1_en.srt | 11.0 KB |
| 003 Random Forest Regression in Python - Step 2.mp4 | 29.2 MB |
| 003 Random Forest Regression in Python - Step 2_en.srt | 10.7 KB |
| 004 Random Forest Regression in R - Step 1.mp4 | 20.1 MB |
| 004 Random Forest Regression in R - Step 1_en.srt | 11.1 KB |
| 005 Random Forest Regression in R - Step 2.mp4 | 21.6 MB |
| 005 Random Forest Regression in R - Step 2_en.srt | 11.4 KB |
| 006 Random Forest Regression in R - Step 3.mp4 | 16.7 MB |
| 006 Random Forest Regression in R - Step 3_en.srt | 10.6 KB |
| 001 R-Squared Intuition.mp4 | 16.5 MB |
| 001 R-Squared Intuition_en.srt | 8.1 KB |
| 002 Adjusted R-Squared Intuition.mp4 | 11.6 MB |
| 002 Adjusted R-Squared Intuition_en.srt | 9.1 KB |
| 001 Machine-Learning-A-Z-Model-Selection.zip | 161.9 KB |
| 001 Make sure you have this Model Selection folder ready.html | 973 bytes |
| 002 Preparation of the Regression Code Templates - Step 1.mp4 | 10.4 MB |
| 002 Preparation of the Regression Code Templates - Step 1_en.srt | 8.5 KB |
| 003 Preparation of the Regression Code Templates - Step 2.mp4 | 21.9 MB |
| 003 Preparation of the Regression Code Templates - Step 2_en.srt | 11.0 KB |
| 004 Preparation of the Regression Code Templates - Step 3.mp4 | 13.7 MB |
| 004 Preparation of the Regression Code Templates - Step 3_en.srt | 8.1 KB |
| 005 Preparation of the Regression Code Templates - Step 4.mp4 | 24.9 MB |
| 005 Preparation of the Regression Code Templates - Step 4_en.srt | 7.5 KB |
| 006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1.mp4 | 22.7 MB |
| 006 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 1_en.srt | 8.3 KB |
| 007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2.mp4 | 28.8 MB |
| 007 THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION! - STEP 2_en.srt | 7.8 KB |
| 008 Conclusion of Part 2 - Regression.html | 1.7 KB |
| 008 Regression-Bonus.zip | 364.5 KB |
| 001 Evaluating Regression Models Performance - Homework's Final Part.mp4 | 27.7 MB |
| 001 Evaluating Regression Models Performance - Homework's Final Part_en.srt | 12.4 KB |
| 002 Interpreting Linear Regression Coefficients.mp4 | 52.6 MB |
| 002 Interpreting Linear Regression Coefficients_en.srt | 12.9 KB |
| 003 Conclusion of Part 2 - Regression.html | 1.7 KB |
| 003 Regression-Bonus.zip | 364.5 KB |
| 001 Welcome to Part 3 - Classification.html | 887 bytes |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 What is Classification.mp4 | 5.6 MB |
| 001 What is Classification_en.srt | 4.6 KB |
| 002 Logistic Regression Intuition.mp4 | 24.8 MB |
| 002 Logistic Regression Intuition_en.srt | 8.7 KB |
| 003 Maximum Likelihood.mp4 | 7.1 MB |
| 003 Maximum Likelihood_en.srt | 6.8 KB |
| 004 Logistic Regression in Python - Step 1a.mp4 | 11.9 MB |
| 004 Logistic Regression in Python - Step 1a_en.srt | 10.2 KB |
| 005 Logistic Regression in Python - Step 1b.mp4 | 9.3 MB |
| 005 Logistic Regression in Python - Step 1b_en.srt | 8.0 KB |
| 006 Logistic Regression in Python - Step 2a.mp4 | 29.1 MB |
| 006 Logistic Regression in Python - Step 2a_en.srt | 10.5 KB |
| 007 Logistic Regression in Python - Step 2b.mp4 | 32.8 MB |
| 007 Logistic Regression in Python - Step 2b_en.srt | 10.6 KB |
| 008 Logistic Regression in Python - Step 3a.mp4 | 20.4 MB |
| 008 Logistic Regression in Python - Step 3a_en.srt | 7.1 KB |
| 009 Logistic Regression in Python - Step 3b.mp4 | 7.8 MB |
| 009 Logistic Regression in Python - Step 3b_en.srt | 5.9 KB |
| 010 Logistic Regression in Python - Step 4a.mp4 | 17.9 MB |
| 010 Logistic Regression in Python - Step 4a_en.srt | 10.1 KB |
| 011 Logistic Regression in Python - Step 4b.mp4 | 4.5 MB |
| 011 Logistic Regression in Python - Step 4b_en.srt | 3.7 KB |
| 012 Logistic Regression in Python - Step 5.mp4 | 18.3 MB |
| 012 Logistic Regression in Python - Step 5_en.srt | 11.0 KB |
| 013 Logistic Regression in Python - Step 6a.mp4 | 13.8 MB |
| 013 Logistic Regression in Python - Step 6a_en.srt | 11.1 KB |
| 014 Logistic Regression in Python - Step 6b.mp4 | 12.1 MB |
| 014 Logistic Regression in Python - Step 6b_en.srt | 6.1 KB |
| 015 Logistic Regression in Python - Step 7a.mp4 | 20.5 MB |
| 015 Logistic Regression in Python - Step 7a_en.srt | 10.1 KB |
| 016 Logistic Regression in Python - Step 7b.mp4 | 24.0 MB |
| 016 Logistic Regression in Python - Step 7b_en.srt | 6.8 KB |
| 017 Logistic Regression in Python - Step 7c.mp4 | 20.2 MB |
| 017 Logistic Regression in Python - Step 7c_en.srt | 5.8 KB |
| 018 Logistic Regression in Python - Step 7 (Colour-blind friendly image).html | 706 bytes |
| 019 Logistic Regression in R - Step 1.mp4 | 19.2 MB |
| 019 Logistic Regression in R - Step 1_en.srt | 8.6 KB |
| 020 Logistic Regression in R - Step 2.mp4 | 12.9 MB |
| 020 Logistic Regression in R - Step 2_en.srt | 4.2 KB |
| 021 Logistic Regression in R - Step 3.mp4 | 27.0 MB |
| 021 Logistic Regression in R - Step 3_en.srt | 7.1 KB |
| 022 Logistic Regression in R - Step 4.mp4 | 32.6 MB |
| 022 Logistic Regression in R - Step 4_en.srt | 3.8 KB |
| 023 Warning - Update.html | 1.8 KB |
| 024 Logistic Regression in R - Step 5a.mp4 | 28.7 MB |
| 024 Logistic Regression in R - Step 5a_en.srt | 10.5 KB |
| 025 Logistic Regression in R - Step 5b.mp4 | 24.7 MB |
| 025 Logistic Regression in R - Step 5b_en.srt | 11.0 KB |
| 026 Logistic Regression in R - Step 5c.mp4 | 37.4 MB |
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| 027 Logistic Regression in R - Step 5 (Colour-blind friendly image).html | 706 bytes |
| 028 R Classification Template.mp4 | 25.5 MB |
| 028 R Classification Template_en.srt | 11.1 KB |
| 029 Machine Learning Regression and Classification BONUS.html | 807 bytes |
| 030 EXTRA CONTENT Logistic Regression Practical Case Study.html | 619 bytes |
| 001 K-Nearest Neighbor Intuition.mp4 | 10.5 MB |
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| 002 K-NN in Python - Step 1.mp4 | 35.0 MB |
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| 004 K-NN in Python - Step 3.mp4 | 34.3 MB |
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| 005 K-NN in R - Step 1.mp4 | 40.6 MB |
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| 006 K-NN in R - Step 2.mp4 | 17.9 MB |
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| 007 K-NN in R - Step 3.mp4 | 35.8 MB |
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| 001 SVM Intuition.mp4 | 20.1 MB |
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| 005 SVM in R - Step 1.mp4 | 51.9 MB |
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| 005 SVM.zip | 8.3 KB |
| 006 SVM in R - Step 2.mp4 | 42.6 MB |
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| 001 Kernel SVM Intuition.mp4 | 6.9 MB |
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| 002 Mapping to a higher dimension.mp4 | 31.9 MB |
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| 003 The Kernel Trick.mp4 | 33.5 MB |
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| 004 Types of Kernel Functions.mp4 | 10.5 MB |
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| 005 Non-Linear Kernel SVR (Advanced).mp4 | 27.5 MB |
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| 006 Kernel SVM in Python - Step 1.mp4 | 36.9 MB |
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| 007 Kernel SVM in Python - Step 2.mp4 | 35.5 MB |
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| 008 Kernel SVM in R - Step 1.mp4 | 55.3 MB |
| 008 Kernel SVM in R - Step 1_en.srt | 10.4 KB |
| 009 Kernel SVM in R - Step 2.mp4 | 18.8 MB |
| 009 Kernel SVM in R - Step 2_en.srt | 9.6 KB |
| 010 Kernel SVM in R - Step 3.mp4 | 37.4 MB |
| 010 Kernel SVM in R - Step 3_en.srt | 9.3 KB |
| 001 Bayes Theorem.mp4 | 145.6 MB |
| 001 Bayes Theorem_en.srt | 33.2 KB |
| 002 Naive Bayes Intuition.mp4 | 57.4 MB |
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| 003 Naive Bayes Intuition (Challenge Reveal).mp4 | 11.8 MB |
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| 004 Naive Bayes Intuition (Extras).mp4 | 16.1 MB |
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| 005 Naive Bayes in Python - Step 1.mp4 | 52.6 MB |
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| 006 Naive Bayes in Python - Step 2.mp4 | 42.0 MB |
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| 007 Naive Bayes in Python - Step 3.mp4 | 6.7 MB |
| 007 Naive Bayes in Python - Step 3_en.srt | 3.2 KB |
| 008 Naive Bayes in R - Step 1.mp4 | 18.3 MB |
| 008 Naive Bayes in R - Step 1_en.srt | 8.1 KB |
| 009 Naive Bayes in R - Step 2.mp4 | 22.7 MB |
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| 010 Naive Bayes in R - Step 3.mp4 | 27.2 MB |
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| 001 Decision Tree Classification Intuition.mp4 | 17.8 MB |
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| 002 Decision Tree Classification in Python - Step 1.mp4 | 37.8 MB |
| 002 Decision Tree Classification in Python - Step 1_en.srt | 11.3 KB |
| 003 Decision Tree Classification in Python - Step 2.mp4 | 33.7 MB |
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| 004 Decision Tree Classification in R - Step 1.mp4 | 57.8 MB |
| 004 Decision Tree Classification in R - Step 1_en.srt | 10.4 KB |
| 005 Decision Tree Classification in R - Step 2.mp4 | 42.8 MB |
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| 006 Decision Tree Classification in R - Step 3.mp4 | 21.7 MB |
| 006 Decision Tree Classification in R - Step 3_en.srt | 9.2 KB |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Random Forest Classification Intuition.mp4 | 41.6 MB |
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| 002 Random Forest Classification in Python - Step 1.mp4 | 34.9 MB |
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| 003 Random Forest Classification in Python - Step 2.mp4 | 32.8 MB |
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| 004 Random Forest Classification in R - Step 1.mp4 | 24.0 MB |
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| 005 Random Forest Classification in R - Step 2.mp4 | 39.0 MB |
| 005 Random Forest Classification in R - Step 2_en.srt | 10.9 KB |
| 006 Random Forest Classification in R - Step 3.mp4 | 44.0 MB |
| 006 Random Forest Classification in R - Step 3_en.srt | 10.7 KB |
| 001 Machine-Learning-A-Z-Model-Selection.zip | 160.0 KB |
| 001 Make sure you have this Model Selection folder ready.html | 985 bytes |
| 002 Confusion Matrix & Accuracy Ratios.mp4 | 28.7 MB |
| 002 Confusion Matrix & Accuracy Ratios_en.srt | 8.4 KB |
| 003 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 1.mp4 | 21.0 MB |
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| 004 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 2.mp4 | 33.0 MB |
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| 005 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 3.mp4 | 21.7 MB |
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| 006 ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION - STEP 4.mp4 | 8.1 MB |
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| 001 False Positives & False Negatives.mp4 | 19.7 MB |
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| 002 Accuracy Paradox.mp4 | 4.2 MB |
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| 003 CAP Curve.mp4 | 19.0 MB |
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| 004 CAP Curve Analysis.mp4 | 14.4 MB |
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| 005 Classification-Pros-Cons.pdf | 29.3 KB |
| 005 Conclusion of Part 3 - Classification.html | 3.3 KB |
| 001 Welcome to Part 4 - Clustering.html | 789 bytes |
| 001 What is Clustering (Supervised vs Unsupervised Learning).mp4 | 15.4 MB |
| 001 What is Clustering (Supervised vs Unsupervised Learning)_en.srt | 6.5 KB |
| 002 K-Means Clustering Intuition.mp4 | 4.1 MB |
| 002 K-Means Clustering Intuition_en.srt | 5.0 KB |
| 003 The Elbow Method.mp4 | 7.5 MB |
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| 004 K-Means++.mp4 | 18.7 MB |
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| 005 K-Means Clustering in Python - Step 1a.mp4 | 10.6 MB |
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| 006 K-Means Clustering in Python - Step 1b.mp4 | 15.6 MB |
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| 007 K-Means Clustering in Python - Step 2a.mp4 | 13.5 MB |
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| 008 K-Means Clustering in Python - Step 2b.mp4 | 12.8 MB |
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| 009 K-Means Clustering in Python - Step 3a.mp4 | 13.1 MB |
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| 010 K-Means Clustering in Python - Step 3b.mp4 | 13.3 MB |
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| 011 K-Means Clustering in Python - Step 3c.mp4 | 9.5 MB |
| 011 K-Means Clustering in Python - Step 3c_en.srt | 6.4 KB |
| 012 K-Means Clustering in Python - Step 4.mp4 | 16.5 MB |
| 012 K-Means Clustering in Python - Step 4_en.srt | 9.9 KB |
| 013 K-Means Clustering in Python - Step 5a.mp4 | 15.1 MB |
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| 014 K-Means Clustering in Python - Step 5b.mp4 | 35.7 MB |
| 014 K-Means Clustering in Python - Step 5b_en.srt | 8.7 KB |
| 015 K-Means Clustering in Python - Step 5c.mp4 | 26.7 MB |
| 015 K-Means Clustering in Python - Step 5c_en.srt | 12.8 KB |
| 016 K-Means Clustering in R - Step 1.mp4 | 15.1 MB |
| 016 K-Means Clustering in R - Step 1_en.srt | 11.3 KB |
| 017 K-Means Clustering in R - Step 2.mp4 | 27.7 MB |
| 017 K-Means Clustering in R - Step 2_en.srt | 11.2 KB |
| 001 Hierarchical Clustering Intuition.mp4 | 36.2 MB |
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| 002 Hierarchical Clustering How Dendrograms Work.mp4 | 16.4 MB |
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| 003 Hierarchical Clustering Using Dendrograms.mp4 | 25.2 MB |
| 003 Hierarchical Clustering Using Dendrograms_en.srt | 17.0 KB |
| 004 Hierarchical Clustering in Python - Step 1.mp4 | 20.4 MB |
| 004 Hierarchical Clustering in Python - Step 1_en.srt | 11.1 KB |
| 005 Hierarchical Clustering in Python - Step 2a.mp4 | 10.9 MB |
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| 006 Hierarchical Clustering in Python - Step 2b.mp4 | 22.3 MB |
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| 007 Hierarchical Clustering in Python - Step 2c.mp4 | 26.5 MB |
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| 008 Hierarchical Clustering in Python - Step 3a.mp4 | 17.1 MB |
| 008 Hierarchical Clustering in Python - Step 3a_en.srt | 9.5 KB |
| 009 Hierarchical Clustering in Python - Step 3b.mp4 | 15.2 MB |
| 009 Hierarchical Clustering in Python - Step 3b_en.srt | 10.2 KB |
| 010 Hierarchical Clustering in R - Step 1.mp4 | 7.7 MB |
| 010 Hierarchical Clustering in R - Step 1_en.srt | 6.1 KB |
| 011 Hierarchical Clustering in R - Step 2.mp4 | 13.0 MB |
| 011 Hierarchical Clustering in R - Step 2_en.srt | 7.8 KB |
| 012 Hierarchical Clustering in R - Step 3.mp4 | 31.3 MB |
| 012 Hierarchical Clustering in R - Step 3_en.srt | 4.6 KB |
| 013 Hierarchical Clustering in R - Step 4.mp4 | 19.4 MB |
| 013 Hierarchical Clustering in R - Step 4_en.srt | 3.7 KB |
| 014 Hierarchical Clustering in R - Step 5.mp4 | 13.8 MB |
| 014 Hierarchical Clustering in R - Step 5_en.srt | 3.9 KB |
| 015 Clustering-Pros-Cons.pdf | 25.8 KB |
| 015 Conclusion of Part 4 - Clustering.html | 502 bytes |
| 001 Welcome to Part 5 - Association Rule Learning.html | 477 bytes |
| 001 Apriori Intuition.mp4 | 56.2 MB |
| 001 Apriori Intuition_en.srt | 31.8 KB |
| 002 Apriori in Python - Step 1.mp4 | 58.3 MB |
| 002 Apriori in Python - Step 1_en.srt | 17.4 KB |
| 003 Apriori in Python - Step 2.mp4 | 82.3 MB |
| 003 Apriori in Python - Step 2_en.srt | 31.1 KB |
| 004 Apriori in Python - Step 3.mp4 | 39.4 MB |
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| 005 Apriori in Python - Step 4.mp4 | 116.7 MB |
| 005 Apriori in Python - Step 4_en.srt | 35.7 KB |
| 006 Apriori in R - Step 1.mp4 | 73.9 MB |
| 006 Apriori in R - Step 1_en.srt | 29.9 KB |
| 007 Apriori in R - Step 2.mp4 | 96.6 MB |
| 007 Apriori in R - Step 2_en.srt | 22.2 KB |
| 008 Apriori in R - Step 3.mp4 | 161.7 MB |
| 008 Apriori in R - Step 3_en.srt | 30.0 KB |
| 001 Eclat Intuition.mp4 | 24.3 MB |
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| 002 Eclat in Python.mp4 | 56.2 MB |
| 002 Eclat in Python_en.srt | 22.6 KB |
| 003 Eclat in R.mp4 | 65.3 MB |
| 003 Eclat in R_en.srt | 15.2 KB |
| 003 Eclat.zip | 48.5 KB |
| 001 Welcome to Part 6 - Reinforcement Learning.html | 1.5 KB |
| 001 The Multi-Armed Bandit Problem.mp4 | 96.4 MB |
| 001 The Multi-Armed Bandit Problem_en.srt | 27.2 KB |
| 002 Upper Confidence Bound (UCB) Intuition.mp4 | 79.2 MB |
| 002 Upper Confidence Bound (UCB) Intuition_en.srt | 26.9 KB |
| 003 Upper Confidence Bound in Python - Step 1.mp4 | 44.7 MB |
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| 004 Upper Confidence Bound in Python - Step 2.mp4 | 9.0 MB |
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| 005 Upper Confidence Bound in Python - Step 3.mp4 | 19.1 MB |
| 005 Upper Confidence Bound in Python - Step 3_en.srt | 13.5 KB |
| 006 Upper Confidence Bound in Python - Step 4.mp4 | 41.6 MB |
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| 007 Upper Confidence Bound in Python - Step 5.mp4 | 16.8 MB |
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| 008 Upper Confidence Bound in Python - Step 6.mp4 | 19.0 MB |
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| 009 Upper Confidence Bound in Python - Step 7.mp4 | 20.5 MB |
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| 010 Upper Confidence Bound in R - Step 1.mp4 | 34.0 MB |
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| 011 Upper Confidence Bound in R - Step 2.mp4 | 76.2 MB |
| 011 Upper Confidence Bound in R - Step 2_en.srt | 27.1 KB |
| 012 Upper Confidence Bound in R - Step 3.mp4 | 99.0 MB |
| 012 Upper Confidence Bound in R - Step 3_en.srt | 30.7 KB |
| 013 Upper Confidence Bound in R - Step 4.mp4 | 8.5 MB |
| 013 Upper Confidence Bound in R - Step 4_en.srt | 5.3 KB |
| 001 Thompson Sampling Intuition.mp4 | 48.7 MB |
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| 002 Algorithm Comparison UCB vs Thompson Sampling.mp4 | 17.2 MB |
| 002 Algorithm Comparison UCB vs Thompson Sampling_en.srt | 14.0 KB |
| 003 Thompson Sampling in Python - Step 1.mp4 | 12.9 MB |
| 003 Thompson Sampling in Python - Step 1_en.srt | 11.6 KB |
| 004 Thompson Sampling in Python - Step 2.mp4 | 34.3 MB |
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| 005 Thompson Sampling in Python - Step 3.mp4 | 40.3 MB |
| 005 Thompson Sampling in Python - Step 3_en.srt | 24.4 KB |
| 006 Thompson Sampling in Python - Step 4.mp4 | 20.7 MB |
| 006 Thompson Sampling in Python - Step 4_en.srt | 13.1 KB |
| 007 Additional Resource for this Section.html | 2.2 KB |
| 008 Thompson Sampling in R - Step 1.mp4 | 59.3 MB |
| 008 Thompson Sampling in R - Step 1_en.srt | 34.5 KB |
| 009 Thompson Sampling in R - Step 2.mp4 | 9.7 MB |
| 009 Thompson Sampling in R - Step 2_en.srt | 6.3 KB |
| 001 Welcome to Part 7 - Natural Language Processing.html | 1.7 KB |
| 002 NLP Intuition.mp4 | 5.2 MB |
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| 003 Types of Natural Language Processing.mp4 | 8.1 MB |
| 003 Types of Natural Language Processing_en.srt | 6.9 KB |
| 004 Classical vs Deep Learning Models.mp4 | 84.0 MB |
| 004 Classical vs Deep Learning Models_en.srt | 19.4 KB |
| 005 Bag-Of-Words Model.mp4 | 38.0 MB |
| 005 Bag-Of-Words Model_en.srt | 30.2 KB |
| 006 Natural Language Processing in Python - Step 1.mp4 | 14.9 MB |
| 006 Natural Language Processing in Python - Step 1_en.srt | 14.1 KB |
| 007 Natural Language Processing in Python - Step 2.mp4 | 34.8 MB |
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| 008 Natural Language Processing in Python - Step 3.mp4 | 28.2 MB |
| 008 Natural Language Processing in Python - Step 3_en.srt | 24.5 KB |
| 009 Natural Language Processing in Python - Step 4.mp4 | 35.3 MB |
| 009 Natural Language Processing in Python - Step 4_en.srt | 19.6 KB |
| 010 Natural Language Processing in Python - Step 5.mp4 | 82.5 MB |
| 010 Natural Language Processing in Python - Step 5_en.srt | 31.6 KB |
| 011 Natural Language Processing in Python - Step 6.mp4 | 45.1 MB |
| 011 Natural Language Processing in Python - Step 6_en.srt | 18.7 KB |
| 012 Natural Language Processing in Python - BONUS.html | 1.1 KB |
| 013 Homework Challenge.html | 1.4 KB |
| 014 Natural Language Processing in R - Step 1.mp4 | 50.5 MB |
| 014 Natural Language Processing in R - Step 1_en.srt | 29.4 KB |
| 015 Warning - Update.html | 760 bytes |
| 016 Natural Language Processing in R - Step 2.mp4 | 23.8 MB |
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| 017 Natural Language Processing in R - Step 3.mp4 | 18.6 MB |
| 017 Natural Language Processing in R - Step 3_en.srt | 12.1 KB |
| 018 Natural Language Processing in R - Step 4.mp4 | 8.8 MB |
| 018 Natural Language Processing in R - Step 4_en.srt | 5.4 KB |
| 019 Natural Language Processing in R - Step 5.mp4 | 6.2 MB |
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| 020 Natural Language Processing in R - Step 6.mp4 | 17.4 MB |
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| 022 Natural Language Processing in R - Step 8.mp4 | 16.7 MB |
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| 023 Natural Language Processing in R - Step 9.mp4 | 39.3 MB |
| 023 Natural Language Processing in R - Step 9_en.srt | 24.1 KB |
| 024 Natural Language Processing in R - Step 10.mp4 | 66.5 MB |
| 024 Natural Language Processing in R - Step 10_en.srt | 31.8 KB |
| 025 Homework Challenge.html | 1.5 KB |
| 001 Welcome to Part 8 - Deep Learning.html | 874 bytes |
| 002 What is Deep Learning.mp4 | 102.9 MB |
| 002 What is Deep Learning_en.srt | 24.3 KB |
| 001 Plan of attack.mp4 | 4.8 MB |
| 001 Plan of attack_en.srt | 5.0 KB |
| 002 The Neuron.mp4 | 44.1 MB |
| 002 The Neuron_en.srt | 31.2 KB |
| 003 The Activation Function.mp4 | 17.3 MB |
| 003 The Activation Function_en.srt | 15.5 KB |
| 004 How do Neural Networks work.mp4 | 67.2 MB |
| 004 How do Neural Networks work_en.srt | 24.6 KB |
| 005 How do Neural Networks learn.mp4 | 43.3 MB |
| 005 How do Neural Networks learn_en.srt | 24.2 KB |
| 006 Gradient Descent.mp4 | 25.7 MB |
| 006 Gradient Descent_en.srt | 17.4 KB |
| 007 Stochastic Gradient Descent.mp4 | 26.8 MB |
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| 008 Backpropagation.mp4 | 14.0 MB |
| 008 Backpropagation_en.srt | 9.8 KB |
| 009 Business Problem Description.mp4 | 43.7 MB |
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| 010 ANN in Python - Step 1.mp4 | 50.8 MB |
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| 012 ANN in Python - Step 3.mp4 | 38.6 MB |
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| 014 ANN in Python - Step 5.mp4 | 75.2 MB |
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| 015 ANN in R - Step 1.mp4 | 132.7 MB |
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| 016 ANN in R - Step 2.mp4 | 25.0 MB |
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| 017 ANN in R - Step 3.mp4 | 115.7 MB |
| 017 ANN in R - Step 3_en.srt | 23.1 KB |
| 018 ANN in R - Step 4 (Last step).mp4 | 54.6 MB |
| 018 ANN in R - Step 4 (Last step)_en.srt | 25.0 KB |
| 019 Deep Learning Additional Content.html | 1005 bytes |
| 020 EXTRA CONTENT ANN Case Study.html | 544 bytes |
| 001 Plan of attack.mp4 | 6.2 MB |
| 001 Plan of attack_en.srt | 7.0 KB |
| 001 dataset.zip | 221.3 MB |
| 002 What are convolutional neural networks.mp4 | 71.1 MB |
| 002 What are convolutional neural networks_en.srt | 28.7 KB |
| 003 Step 1 - Convolution Operation.mp4 | 65.6 MB |
| 003 Step 1 - Convolution Operation_en.srt | 29.4 KB |
| 004 Step 1(b) - ReLU Layer.mp4 | 20.6 MB |
| 004 Step 1(b) - ReLU Layer_en.srt | 11.3 KB |
| 005 Step 2 - Pooling.mp4 | 87.5 MB |
| 005 Step 2 - Pooling_en.srt | 27.9 KB |
| 006 Step 3 - Flattening.mp4 | 3.1 MB |
| 006 Step 3 - Flattening_en.srt | 3.6 KB |
| 007 Step 4 - Full Connection.mp4 | 58.6 MB |
| 007 Step 4 - Full Connection_en.srt | 35.4 KB |
| 008 Summary.mp4 | 10.8 MB |
| 008 Summary_en.srt | 7.7 KB |
| 009 Softmax & Cross-Entropy.mp4 | 42.1 MB |
| 009 Softmax & Cross-Entropy_en.srt | 37.1 KB |
| 010 CNN in Python - Step 1.mp4 | 31.8 MB |
| 010 CNN in Python - Step 1_en.srt | 21.0 KB |
| 011 CNN in Python - Step 2.mp4 | 100.1 MB |
| 011 CNN in Python - Step 2_en.srt | 33.6 KB |
| 012 CNN in Python - Step 3.mp4 | 64.3 MB |
| 012 CNN in Python - Step 3_en.srt | 32.1 KB |
| 013 CNN in Python - Step 4.mp4 | 22.7 MB |
| 013 CNN in Python - Step 4_en.srt | 13.6 KB |
| 014 CNN in Python - Step 5.mp4 | 84.9 MB |
| 014 CNN in Python - Step 5_en.srt | 26.6 KB |
| 015 CNN in Python - FINAL DEMO!.mp4 | 112.1 MB |
| 015 CNN in Python - FINAL DEMO!_en.srt | 38.6 KB |
| 016 Deep Learning Additional Content #2.html | 923 bytes |
| 001 Welcome to Part 9 - Dimensionality Reduction.html | 1.3 KB |
| 001 Principal Component Analysis (PCA) Intuition.mp4 | 21.0 MB |
| 001 Principal Component Analysis (PCA) Intuition_en.srt | 6.4 KB |
| 002 PCA in Python - Step 1.mp4 | 86.0 MB |
| 002 PCA in Python - Step 1_en.srt | 30.1 KB |
| 003 PCA in Python - Step 2.mp4 | 20.7 MB |
| 003 PCA in Python - Step 2_en.srt | 10.4 KB |
| 004 PCA in R - Step 1.mp4 | 100.6 MB |
| 004 PCA in R - Step 1_en.srt | 23.9 KB |
| 005 PCA in R - Step 2.mp4 | 46.5 MB |
| 005 PCA in R - Step 2_en.srt | 21.0 KB |
| 006 PCA in R - Step 3.mp4 | 65.3 MB |
| 006 PCA in R - Step 3_en.srt | 24.3 KB |
| [CourseClub.Me].url | 122 bytes |
| [FreeCourseSite.com].url | 127 bytes |
| [GigaCourse.Com].url | 49 bytes |
| 001 Linear Discriminant Analysis (LDA) Intuition.mp4 | 15.1 MB |
| 001 Linear Discriminant Analysis (LDA) Intuition_en.srt | 6.6 KB |
| 002 LDA in Python.mp4 | 75.4 MB |
| 002 LDA in Python_en.srt | 26.4 KB |
| 003 LDA in R.mp4 | 93.7 MB |
| 003 LDA in R_en.srt | 35.5 KB |
| 001 Kernel PCA in Python.mp4 | 56.9 MB |
| 001 Kernel PCA in Python_en.srt | 19.5 KB |
| 002 Kernel PCA in R.mp4 | 228.8 MB |
| 002 Kernel PCA in R_en.srt | 37.3 KB |
| 001 Welcome to Part 10 - Model Selection & Boosting.html | 921 bytes |
| 001 k-Fold Cross Validation in Python.mp4 | 62.0 MB |
| 001 k-Fold Cross Validation in Python_en.srt | 32.6 KB |
| 002 Grid Search in Python.mp4 | 114.4 MB |
| 002 Grid Search in Python_en.srt | 38.5 KB |
| 003 k-Fold Cross Validation in R.mp4 | 53.3 MB |
| 003 k-Fold Cross Validation in R_en.srt | 35.3 KB |
| 004 Grid Search in R.mp4 | 50.0 MB |
| 004 Grid Search in R_en.srt | 26.0 KB |
| 001 XGBoost in Python.mp4 | 84.3 MB |
| 001 XGBoost in Python_en.srt | 25.4 KB |
| 002 Model Selection and Boosting Additional Content.html | 1.1 KB |
| 003 XGBoost in R.mp4 | 69.4 MB |
| 003 XGBoost in R_en.srt | 31.1 KB |
| 001 OUR SPECIAL OFFER.html | 4.5 KB |
| 001 Logistic Regression Intuition.mp4 | 32.5 MB |
| 001 Logistic Regression Intuition_en.srt | 31.5 KB |
Name
DL
Uploader
Size
S/L
Added
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358.7 MB
[23
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9]
2025-04-03
| Uploaded by freecoursewb | Size 358.7 MB | Health [ 23 /9 ] | Added 2025-04-03 |
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1.6 GB
[18
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3]
2023-10-30
| Uploaded by FreeCourseWeb | Size 1.6 GB | Health [ 18 /3 ] | Added 2023-10-30 |
NOTE
SOURCE: Udemy Machine Learning A ZTM AI Python R ChatGPT Bonus 2023
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