[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python

Creation Time	June 22, 2025, 5:07 p.m.
Last Access Time	Oct. 17, 2025, 9:31 p.m.
File Size	5.0 GB
Keywords	FreeCourseSite Python Masterclass - Udemy Machine Learning in com Regression
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Total Files	153
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4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4 190.2 MB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4 157.5 MB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4 143.9 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4 143.7 MB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4 142.0 MB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4 135.7 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4 132.3 MB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4 129.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4 129.2 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4 128.4 MB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4 126.7 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4 121.8 MB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4 117.6 MB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp4 97.9 MB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp4 93.3 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp4 90.6 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp4 90.6 MB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp4 88.5 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp4 86.8 MB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp4 85.8 MB
5. POLYNOMIAL REGRESSION/5. Poly Regression - Linear Trainingtesting.mp4 79.3 MB
6. MULTIPLE LINEAR REGRESSION/11. Project #2 - Model Evaluation.mp4 78.6 MB
3. SIMPLE LINEAR REGRESSION/14. Project #2 - Model Testing.mp4 78.5 MB
6. MULTIPLE LINEAR REGRESSION/4. Project #1 - Data Visualization.mp4 77.6 MB
7. LOGISTIC REGRESSION/5. Project #2 - Visualization.mp4 76.8 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/3. Regression Metric Part 2.mp4 76.4 MB
5. POLYNOMIAL REGRESSION/3. Poly Regression - Salary Load Data.mp4 73.9 MB
3. SIMPLE LINEAR REGRESSION/6. Project #1 - Divide Data into Training and Testing.mp4 73.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/13. Multiple Linear regression.mp4 72.4 MB
3. SIMPLE LINEAR REGRESSION/5. Project #1 - Data Visualization.mp4 71.4 MB
7. LOGISTIC REGRESSION/3. Confusion Matrix.mp4 70.6 MB
6. MULTIPLE LINEAR REGRESSION/8. Project #2 - Load Data.mp4 69.7 MB
9. LASSO AND RIDGE REGRESSION/3. Ridge Lasso Part 2.mp4 68.3 MB
5. POLYNOMIAL REGRESSION/2. Polynomial Regression - Intuition.mp4 67.1 MB
7. LOGISTIC REGRESSION/2. Logistic Regression Intuition.mp4 64.1 MB
5. POLYNOMIAL REGRESSION/4. Poly Regression - Visualize Data.mp4 63.6 MB
5. POLYNOMIAL REGRESSION/11. Poly Regression - Economies Poly.mp4 62.6 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/1. Course Welcome Message.mp4 60.5 MB
3. SIMPLE LINEAR REGRESSION/3. Least Squares.mp4 59.8 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/10. Scale the Data.mp4 59.1 MB
6. MULTIPLE LINEAR REGRESSION/3. Project #1 - Load Data and Libraries.mp4 56.9 MB
5. POLYNOMIAL REGRESSION/10. Poly Regression - Economies Linear -2.mp4 56.4 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/4. Theory Part 3.mp4 55.8 MB
5. POLYNOMIAL REGRESSION/6. Poly Regression - Poly Part 1.mp4 54.6 MB
6. MULTIPLE LINEAR REGRESSION/10. Project #2 - Train the Model.mp4 53.1 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/3. Course Overview.mp4 53.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/6. Theory Part 5.mp4 50.4 MB
3. SIMPLE LINEAR REGRESSION/7. Project #1 - Train Model.mp4 50.2 MB
5. POLYNOMIAL REGRESSION/9. Poly Regression - Economies Linear -1.mp4 48.8 MB
3. SIMPLE LINEAR REGRESSION/11. Project #2 - Visualization.mp4 48.3 MB
2. ANACONDA AND JUPYTER INSTALLATION/1. Download and Set up Anaconda.mp4 44.7 MB
7. LOGISTIC REGRESSION/6. Project #2 - Data Cleaning.mp4 43.7 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/2. Theory Part 1.mp4 40.0 MB
7. LOGISTIC REGRESSION/4. Project #2 - Data Import.mp4 37.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/7. Theory Part 6.mp4 35.8 MB
5. POLYNOMIAL REGRESSION/7. Poly Regression - Poly Part 2.mp4 35.7 MB
3. SIMPLE LINEAR REGRESSION/10. Project #2 - Solution.mp4 34.1 MB
9. LASSO AND RIDGE REGRESSION/4. Ridge Lasso Part 3.mp4 33.1 MB
5. POLYNOMIAL REGRESSION/8. Poly Regression Project 2 Overview.mp4 32.4 MB
2. ANACONDA AND JUPYTER INSTALLATION/2. What is Jupiter Notebook.mp4 32.4 MB
3. SIMPLE LINEAR REGRESSION/12. Project #2 - Prepare Training and Testing Data.mp4 31.9 MB
3. SIMPLE LINEAR REGRESSION/13. Project #2 - Test Model.mp4 31.5 MB
7. LOGISTIC REGRESSION/1. Logistic Regression Intro.mp4 30.4 MB
3. SIMPLE LINEAR REGRESSION/9. Project #2 - Overview.mp4 30.0 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/3. Theory Part 2.mp4 27.9 MB
3. SIMPLE LINEAR REGRESSION/1. Intro to Simple Linear Regression.mp4 27.1 MB
6. MULTIPLE LINEAR REGRESSION/7. Project #2 - Overview.mp4 26.1 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/3.1 ML Regression Course Package.zip.zip 25.4 MB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/2. Updates on Udemy Reviews.mp4 23.1 MB
9. LASSO AND RIDGE REGRESSION/1. Ridge and Lasso Intro.mp4 22.5 MB
6. MULTIPLE LINEAR REGRESSION/2. Multiple Linear Regression Overview.mp4 21.4 MB
6. MULTIPLE LINEAR REGRESSION/1. Multiple Linear Regression Intro.mp4 19.9 MB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/1. Artificial Neural Networks Intro.mp4 16.2 MB
5. POLYNOMIAL REGRESSION/1. Polynomial Regression Intro.mp4 14.8 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/1. Regression Metrics Intro.mp4 13.1 MB
4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.vtt 28.9 KB
6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.vtt 25.2 KB
3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.vtt 24.4 KB
3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.vtt 24.4 KB
4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.vtt 21.5 KB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.vtt 21.4 KB
6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.vtt 20.6 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.vtt 19.8 KB
9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.vtt 18.4 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.vtt 18.1 KB
6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.vtt 16.7 KB
6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.vtt 16.4 KB
3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.vtt 16.4 KB
7. LOGISTIC REGRESSION/3. Confusion Matrix.vtt 15.8 KB
7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.vtt 15.7 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.vtt 15.6 KB
3. SIMPLE LINEAR REGRESSION/5. Project #1 - Data Visualization.vtt 14.0 KB
3. SIMPLE LINEAR REGRESSION/6. Project #1 - Divide Data into Training and Testing.vtt 13.9 KB
5. POLYNOMIAL REGRESSION/5. Poly Regression - Linear Trainingtesting.vtt 13.9 KB
7. LOGISTIC REGRESSION/5. Project #2 - Visualization.vtt 13.7 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.vtt 13.4 KB
3. SIMPLE LINEAR REGRESSION/14. Project #2 - Model Testing.vtt 13.3 KB
5. POLYNOMIAL REGRESSION/3. Poly Regression - Salary Load Data.vtt 13.1 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.vtt 13.1 KB
5. POLYNOMIAL REGRESSION/2. Polynomial Regression - Intuition.vtt 13.0 KB
7. LOGISTIC REGRESSION/8. Model Testing Visualization.vtt 12.9 KB
6. MULTIPLE LINEAR REGRESSION/4. Project #1 - Data Visualization.vtt 12.6 KB
9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.vtt 12.5 KB
6. MULTIPLE LINEAR REGRESSION/11. Project #2 - Model Evaluation.vtt 12.4 KB
4. REGRESSION KEY PERFORMANCE INDICATORS/3. Regression Metric Part 2.vtt 12.4 KB
5. POLYNOMIAL REGRESSION/4. Poly Regression - Visualize Data.vtt 12.0 KB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/3. Course Overview.vtt 11.9 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.vtt 11.8 KB
7. LOGISTIC REGRESSION/2. Logistic Regression Intuition.vtt 10.7 KB
5. POLYNOMIAL REGRESSION/11. Poly Regression - Economies Poly.vtt 10.2 KB
9. LASSO AND RIDGE REGRESSION/3. Ridge Lasso Part 2.vtt 10.0 KB
3. SIMPLE LINEAR REGRESSION/7. Project #1 - Train Model.vtt 9.8 KB
6. MULTIPLE LINEAR REGRESSION/8. Project #2 - Load Data.vtt 9.8 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/13. Multiple Linear regression.vtt 9.7 KB
6. MULTIPLE LINEAR REGRESSION/10. Project #2 - Train the Model.vtt 9.7 KB
5. POLYNOMIAL REGRESSION/10. Poly Regression - Economies Linear -2.vtt 9.7 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/4. Theory Part 3.vtt 9.5 KB
3. SIMPLE LINEAR REGRESSION/3. Least Squares.vtt 9.4 KB
5. POLYNOMIAL REGRESSION/6. Poly Regression - Poly Part 1.vtt 9.4 KB
6. MULTIPLE LINEAR REGRESSION/3. Project #1 - Load Data and Libraries.vtt 9.3 KB
3. SIMPLE LINEAR REGRESSION/11. Project #2 - Visualization.vtt 9.3 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/6. Theory Part 5.vtt 8.9 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/10. Scale the Data.vtt 8.6 KB
5. POLYNOMIAL REGRESSION/9. Poly Regression - Economies Linear -1.vtt 7.6 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/2. Theory Part 1.vtt 7.3 KB
7. LOGISTIC REGRESSION/6. Project #2 - Data Cleaning.vtt 7.2 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/7. Theory Part 6.vtt 7.0 KB
5. POLYNOMIAL REGRESSION/7. Poly Regression - Poly Part 2.vtt 6.2 KB
7. LOGISTIC REGRESSION/4. Project #2 - Data Import.vtt 6.2 KB
3. SIMPLE LINEAR REGRESSION/12. Project #2 - Prepare Training and Testing Data.vtt 5.8 KB
3. SIMPLE LINEAR REGRESSION/13. Project #2 - Test Model.vtt 5.8 KB
2. ANACONDA AND JUPYTER INSTALLATION/1. Download and Set up Anaconda.vtt 5.7 KB
3. SIMPLE LINEAR REGRESSION/10. Project #2 - Solution.vtt 5.4 KB
9. LASSO AND RIDGE REGRESSION/4. Ridge Lasso Part 3.vtt 5.2 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/3. Theory Part 2.vtt 5.0 KB
5. POLYNOMIAL REGRESSION/8. Poly Regression Project 2 Overview.vtt 4.9 KB
2. ANACONDA AND JUPYTER INSTALLATION/2. What is Jupiter Notebook.vtt 4.5 KB
3. SIMPLE LINEAR REGRESSION/9. Project #2 - Overview.vtt 4.3 KB
6. MULTIPLE LINEAR REGRESSION/7. Project #2 - Overview.vtt 4.2 KB
6. MULTIPLE LINEAR REGRESSION/2. Multiple Linear Regression Overview.vtt 4.0 KB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/1. Course Welcome Message.vtt 3.4 KB
7. LOGISTIC REGRESSION/1. Logistic Regression Intro.vtt 1.8 KB
3. SIMPLE LINEAR REGRESSION/1. Intro to Simple Linear Regression.vtt 1.7 KB
1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/2. Updates on Udemy Reviews.vtt 1.5 KB
6. MULTIPLE LINEAR REGRESSION/1. Multiple Linear Regression Intro.vtt 1.2 KB
9. LASSO AND RIDGE REGRESSION/1. Ridge and Lasso Intro.vtt 1.2 KB
10. Bonus Lectures/1. YOUR SPECIAL BONUS.html 1.1 KB
8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/1. Artificial Neural Networks Intro.vtt 962 bytes
5. POLYNOMIAL REGRESSION/1. Polynomial Regression Intro.vtt 922 bytes
4. REGRESSION KEY PERFORMANCE INDICATORS/1. Regression Metrics Intro.vtt 815 bytes
0. Websites you may like/[FCS Forum].url 133 bytes
0. Websites you may like/[FreeCourseSite.com].url 127 bytes
0. Websites you may like/[CourseClub.ME].url 122 bytes

[FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python

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