[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python torrent, magnet, bt

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[FreeCourseLab.com] Udemy - Deep Learning Prerequisites Linear Regression in Python

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102

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942.01MB

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2019-07-28

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FreeCourseLab com Udemy Deep Learning Prerequisites Linear Regression in Python

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File Name

Size

1. Welcome/1. Welcome.mp4

49.68MB

1. Welcome/1. Welcome.vtt

4KB

1. Welcome/2. Introduction and Outline.mp4

6.33MB

1. Welcome/2. Introduction and Outline.vtt

5.3KB

1. Welcome/3. What is machine learning How does linear regression play a role.mp4

8.44MB

1. Welcome/3. What is machine learning How does linear regression play a role.vtt

5.28KB

1. Welcome/4. Introduction to Moore's Law Problem.mp4

4.42MB

1. Welcome/4. Introduction to Moore's Law Problem.vtt

3.39KB

1. Welcome/5. What can linear regression be used for.html

143B

1. Welcome/6. How to Succeed in this Course.mp4

3.31MB

1. Welcome/6. How to Succeed in this Course.vtt

3.49KB

2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4

19.34MB

2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).vtt

14.36KB

2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4

24.67MB

2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.vtt

9.58KB

2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4

14.44MB

2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.vtt

4.86KB

2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.mp4

1.05MB

2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.vtt

1.38KB

2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4

11.31MB

2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.vtt

4.15KB

2. 1-D Linear Regression Theory and Code/6. R-squared in code.mp4

4.5MB

2. 1-D Linear Regression Theory and Code/6. R-squared in code.vtt

1.5KB

2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4

17.5MB

2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.vtt

6.17KB

2. 1-D Linear Regression Theory and Code/8. R-squared Quiz 1.mp4

2.8MB

2. 1-D Linear Regression Theory and Code/8. R-squared Quiz 1.vtt

1.96KB

3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4

14.43MB

3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).vtt

10.28KB

3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4

36.08MB

3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.vtt

11.37KB

3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.mp4

3.1MB

3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.vtt

1.84KB

3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4

14.91MB

3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.vtt

4.51KB

3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4

16.4MB

3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).vtt

4.26KB

3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.mp4

12.35MB

3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.vtt

4.88KB

3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.mp4

3.5MB

3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.vtt

2.38KB

4. Practical machine learning issues/1. What do all these letters mean.mp4

9.63MB

4. Practical machine learning issues/1. What do all these letters mean.vtt

7.01KB

4. Practical machine learning issues/10. The Dummy Variable Trap.mp4

6.08MB

4. Practical machine learning issues/10. The Dummy Variable Trap.vtt

4.85KB

4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4

22.8MB

4. Practical machine learning issues/11. Gradient Descent Tutorial.vtt

4.8KB

4. Practical machine learning issues/12. Gradient Descent for Linear Regression.mp4

3.5MB

4. Practical machine learning issues/12. Gradient Descent for Linear Regression.vtt

2.76KB

4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.mp4

8.51MB

4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.vtt

3.08KB

4. Practical machine learning issues/14. L1 Regularization - Theory.mp4

4.66MB

4. Practical machine learning issues/14. L1 Regularization - Theory.vtt

3.65KB

4. Practical machine learning issues/15. L1 Regularization - Code.mp4

8.27MB

4. Practical machine learning issues/15. L1 Regularization - Code.vtt

3.06KB

4. Practical machine learning issues/16. L1 vs L2 Regularization.mp4

4.8MB

4. Practical machine learning issues/16. L1 vs L2 Regularization.vtt

3.75KB

4. Practical machine learning issues/2. Interpreting the Weights.mp4

6.05MB

4. Practical machine learning issues/2. Interpreting the Weights.vtt

3.72KB

4. Practical machine learning issues/3. Generalization error, train and test sets.mp4

4.39MB

4. Practical machine learning issues/3. Generalization error, train and test sets.vtt

2.58KB

4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4

17.26MB

4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.vtt

8.21KB

4. Practical machine learning issues/5. Categorical inputs.mp4

8.19MB

4. Practical machine learning issues/5. Categorical inputs.vtt

4.34KB

4. Practical machine learning issues/6. One-Hot Encoding Quiz.mp4

3.77MB

4. Practical machine learning issues/6. One-Hot Encoding Quiz.vtt

2.2KB

4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.mp4

8.14MB

4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.vtt

5.66KB

4. Practical machine learning issues/8. L2 Regularization - Theory.mp4

6.66MB

4. Practical machine learning issues/8. L2 Regularization - Theory.vtt

4.84KB

4. Practical machine learning issues/9. L2 Regularization - Code.mp4

8.09MB

4. Practical machine learning issues/9. L2 Regularization - Code.vtt

2.96KB

5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.mp4

8.13MB

5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.vtt

5.13KB

5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.mp4

7.17MB

5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.vtt

4.83KB

6. Appendix/1. What is the Appendix.mp4

5.46MB

6. Appendix/1. What is the Appendix.vtt

3.28KB

6. Appendix/10. What order should I take your courses in (part 1).mp4

29.32MB

6. Appendix/10. What order should I take your courses in (part 1).vtt

14.09KB

6. Appendix/11. What order should I take your courses in (part 2).mp4

37.62MB

6. Appendix/11. What order should I take your courses in (part 2).vtt

37.65MB

6. Appendix/12. Python 2 vs Python 3.mp4

7.84MB

6. Appendix/12. Python 2 vs Python 3.vtt

5.35KB

6. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4

4.03MB

6. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.vtt

2.99KB

6. Appendix/3. Windows-Focused Environment Setup 2018.mp4

186.29MB

6. Appendix/3. Windows-Focused Environment Setup 2018.vtt

17.39KB

6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4

43.92MB

6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt

12.4KB

6. Appendix/5. How to Code by Yourself (part 1).mp4

24.54MB

6. Appendix/5. How to Code by Yourself (part 1).vtt

19.78KB

6. Appendix/6. How to Code by Yourself (part 2).mp4

14.81MB

6. Appendix/6. How to Code by Yourself (part 2).vtt

11.62KB

6. Appendix/7. How to Succeed in this Course (Long Version).mp4

18.32MB

6. Appendix/7. How to Succeed in this Course (Long Version).vtt

12.79KB

6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4

38.96MB

6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt

27.77KB

6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4

78.29MB

6. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.vtt

12.22KB

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126B

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