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种子名称： [FreeCourseSite.com] Udemy - Machine Learning Regression Masterclass in Python
文件类型： 视频
文件数目： 74个文件
文件大小： 4.95 GB
收录时间： 2021-5-16 10:34
已经下载： 3次
资源热度： 202
最近下载： 2024-12-24 14:07

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

1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/1. Course Welcome Message.mp460.51MB

1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/2. Updates on Udemy Reviews.mp423.12MB

1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/3. Course Overview.mp453.05MB

1. INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/4. ML vs. DL vs. AI.mp4143.71MB

2. ANACONDA AND JUPYTER INSTALLATION/1. Download and Set up Anaconda.mp444.71MB

2. ANACONDA AND JUPYTER INSTALLATION/2. What is Jupiter Notebook.mp432.38MB

3. SIMPLE LINEAR REGRESSION/1. Intro to Simple Linear Regression.mp427.14MB

3. SIMPLE LINEAR REGRESSION/10. Project #2 - Solution.mp434.06MB

3. SIMPLE LINEAR REGRESSION/11. Project #2 - Visualization.mp448.3MB

3. SIMPLE LINEAR REGRESSION/12. Project #2 - Prepare Training and Testing Data.mp431.93MB

3. SIMPLE LINEAR REGRESSION/13. Project #2 - Test Model.mp431.52MB

3. SIMPLE LINEAR REGRESSION/14. Project #2 - Model Testing.mp478.5MB

3. SIMPLE LINEAR REGRESSION/2. Simple Linear Regression Intuition.mp497.86MB

3. SIMPLE LINEAR REGRESSION/3. Least Squares.mp459.81MB

3. SIMPLE LINEAR REGRESSION/4. Project #1 - Overview.mp4126.73MB

3. SIMPLE LINEAR REGRESSION/5. Project #1 - Data Visualization.mp471.42MB

3. SIMPLE LINEAR REGRESSION/6. Project #1 - Divide Data into Training and Testing.mp473.8MB

3. SIMPLE LINEAR REGRESSION/7. Project #1 - Train Model.mp450.22MB

3. SIMPLE LINEAR REGRESSION/8. Project #1 - Test Model.mp4143.86MB

3. SIMPLE LINEAR REGRESSION/9. Project #2 - Overview.mp430.01MB

4. REGRESSION KEY PERFORMANCE INDICATORS/1. Regression Metrics Intro.mp413.05MB

4. REGRESSION KEY PERFORMANCE INDICATORS/2. Regression Metric Part 1.mp4128.4MB

4. REGRESSION KEY PERFORMANCE INDICATORS/3. Regression Metric Part 2.mp476.45MB

4. REGRESSION KEY PERFORMANCE INDICATORS/4. Bias Variance Tradeoff.mp4190.2MB

5. POLYNOMIAL REGRESSION/1. Polynomial Regression Intro.mp414.81MB

5. POLYNOMIAL REGRESSION/10. Poly Regression - Economies Linear -2.mp456.37MB

5. POLYNOMIAL REGRESSION/11. Poly Regression - Economies Poly.mp462.63MB

5. POLYNOMIAL REGRESSION/2. Polynomial Regression - Intuition.mp467.12MB

5. POLYNOMIAL REGRESSION/3. Poly Regression - Salary Load Data.mp473.93MB

5. POLYNOMIAL REGRESSION/4. Poly Regression - Visualize Data.mp463.6MB

5. POLYNOMIAL REGRESSION/5. Poly Regression - Linear Trainingtesting.mp479.26MB

5. POLYNOMIAL REGRESSION/6. Poly Regression - Poly Part 1.mp454.57MB

5. POLYNOMIAL REGRESSION/7. Poly Regression - Poly Part 2.mp435.7MB

5. POLYNOMIAL REGRESSION/8. Poly Regression Project 2 Overview.mp432.45MB

5. POLYNOMIAL REGRESSION/9. Poly Regression - Economies Linear -1.mp448.8MB

6. MULTIPLE LINEAR REGRESSION/1. Multiple Linear Regression Intro.mp419.86MB

6. MULTIPLE LINEAR REGRESSION/10. Project #2 - Train the Model.mp453.08MB

6. MULTIPLE LINEAR REGRESSION/11. Project #2 - Model Evaluation.mp478.64MB

6. MULTIPLE LINEAR REGRESSION/12. Project #2 - Retraining Model.mp4129.33MB

6. MULTIPLE LINEAR REGRESSION/2. Multiple Linear Regression Overview.mp421.37MB

6. MULTIPLE LINEAR REGRESSION/3. Project #1 - Load Data and Libraries.mp456.87MB

6. MULTIPLE LINEAR REGRESSION/4. Project #1 - Data Visualization.mp477.59MB

6. MULTIPLE LINEAR REGRESSION/5. Project #1 - Model Training and Evaluation.mp4157.52MB

6. MULTIPLE LINEAR REGRESSION/6. Project #1 - Model Results Evaluation.mp4135.67MB

6. MULTIPLE LINEAR REGRESSION/7. Project #2 - Overview.mp426.05MB

6. MULTIPLE LINEAR REGRESSION/8. Project #2 - Load Data.mp469.67MB

6. MULTIPLE LINEAR REGRESSION/9. Project #2 - Data Visualization.mp4117.58MB

7. LOGISTIC REGRESSION/1. Logistic Regression Intro.mp430.45MB

7. LOGISTIC REGRESSION/2. Logistic Regression Intuition.mp464.1MB

7. LOGISTIC REGRESSION/3. Confusion Matrix.mp470.58MB

7. LOGISTIC REGRESSION/4. Project #2 - Data Import.mp436.96MB

7. LOGISTIC REGRESSION/5. Project #2 - Visualization.mp476.77MB

7. LOGISTIC REGRESSION/6. Project #2 - Data Cleaning.mp443.72MB

7. LOGISTIC REGRESSION/7. Project #2 - Training Testing.mp493.33MB

7. LOGISTIC REGRESSION/8. Model Testing Visualization.mp485.78MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/1. Artificial Neural Networks Intro.mp416.2MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/10. Scale the Data.mp459.11MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/11. Train the Model.mp4121.79MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/12. Evaluate the Model.mp4132.29MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/13. Multiple Linear regression.mp472.45MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/14. Model Improvement with more features.mp490.62MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/2. Theory Part 1.mp439.98MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/3. Theory Part 2.mp427.92MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/4. Theory Part 3.mp455.82MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/5. Theory Part 4.mp490.63MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/6. Theory Part 5.mp450.35MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/7. Theory Part 6.mp435.82MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/8. Project - Load Dataset.mp486.79MB

8. APPLY ARTIFICIAL NEURAL NETWORKS TO PERFROM REGRESSION TASKS/9. Project - Visualize Dataset.mp4129.2MB

9. LASSO AND RIDGE REGRESSION/1. Ridge and Lasso Intro.mp422.53MB

9. LASSO AND RIDGE REGRESSION/2. Ridge Lasso Part 1.mp488.51MB

9. LASSO AND RIDGE REGRESSION/3. Ridge Lasso Part 2.mp468.33MB

9. LASSO AND RIDGE REGRESSION/4. Ridge Lasso Part 3.mp433.08MB

9. LASSO AND RIDGE REGRESSION/5. Ridge and Lasso in Practice.mp4141.99MB