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

FreeCourseLab com Udemy Deep Learning Prerequisites Linear Regression in Python

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

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Total Size

987.8 MB

Total Files

102

Hash

9EDDD4119B64E840B18F625F301104CB21CCE31F

/1. Welcome/

1. Welcome.mp4

52.1 MB

1. Welcome.vtt

4.1 KB

2. Introduction and Outline.mp4

6.6 MB

2. Introduction and Outline.vtt

5.4 KB

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

8.8 MB

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

5.4 KB

4. Introduction to Moore's Law Problem.mp4

4.6 MB

4. Introduction to Moore's Law Problem.vtt

3.5 KB

5. What can linear regression be used for.html

0.1 KB

6. How to Succeed in this Course.mp4

3.5 MB

6. How to Succeed in this Course.vtt

3.6 KB

/2. 1-D Linear Regression Theory and Code/

1. Define the model in 1-D, derive the solution (Updated Version).mp4

20.3 MB

1. Define the model in 1-D, derive the solution (Updated Version).vtt

14.7 KB

2. Define the model in 1-D, derive the solution.mp4

25.9 MB

2. Define the model in 1-D, derive the solution.vtt

9.8 KB

3. Coding the 1-D solution in Python.mp4

15.1 MB

3. Coding the 1-D solution in Python.vtt

5.0 KB

4. Exercise Theory vs. Code.mp4

1.1 MB

4. Exercise Theory vs. Code.vtt

1.4 KB

5. Determine how good the model is - r-squared.mp4

11.9 MB

5. Determine how good the model is - r-squared.vtt

4.2 KB

6. R-squared in code.mp4

4.7 MB

6. R-squared in code.vtt

1.5 KB

7. Demonstrating Moore's Law in Code.mp4

18.3 MB

7. Demonstrating Moore's Law in Code.vtt

6.3 KB

8. R-squared Quiz 1.mp4

2.9 MB

8. R-squared Quiz 1.vtt

2.0 KB

/3. Multiple linear regression and polynomial regression/

1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4

15.1 MB

1. Define the multi-dimensional problem and derive the solution (Updated Version).vtt

10.5 KB

2. Define the multi-dimensional problem and derive the solution.mp4

37.8 MB

2. Define the multi-dimensional problem and derive the solution.vtt

11.6 KB

3. How to solve multiple linear regression using only matrices.mp4

3.3 MB

3. How to solve multiple linear regression using only matrices.vtt

1.9 KB

4. Coding the multi-dimensional solution in Python.mp4

15.6 MB

4. Coding the multi-dimensional solution in Python.vtt

4.6 KB

5. Polynomial regression - extending linear regression (with Python code).mp4

17.2 MB

5. Polynomial regression - extending linear regression (with Python code).vtt

4.4 KB

6. Predicting Systolic Blood Pressure from Age and Weight.mp4

12.9 MB

6. Predicting Systolic Blood Pressure from Age and Weight.vtt

5.0 KB

7. R-squared Quiz 2.mp4

3.7 MB

7. R-squared Quiz 2.vtt

2.4 KB

/4. Practical machine learning issues/

1. What do all these letters mean.mp4

10.1 MB

1. What do all these letters mean.vtt

7.2 KB

10. The Dummy Variable Trap.mp4

6.4 MB

10. The Dummy Variable Trap.vtt

5.0 KB

11. Gradient Descent Tutorial.mp4

23.9 MB

11. Gradient Descent Tutorial.vtt

4.9 KB

12. Gradient Descent for Linear Regression.mp4

3.7 MB

12. Gradient Descent for Linear Regression.vtt

2.8 KB

13. Bypass the Dummy Variable Trap with Gradient Descent.mp4

8.9 MB

13. Bypass the Dummy Variable Trap with Gradient Descent.vtt

3.1 KB

14. L1 Regularization - Theory.mp4

4.9 MB

14. L1 Regularization - Theory.vtt

3.7 KB

15. L1 Regularization - Code.mp4

8.7 MB

15. L1 Regularization - Code.vtt

3.1 KB

16. L1 vs L2 Regularization.mp4

5.0 MB

16. L1 vs L2 Regularization.vtt

3.8 KB

2. Interpreting the Weights.mp4

6.3 MB

2. Interpreting the Weights.vtt

3.8 KB

3. Generalization error, train and test sets.mp4

4.6 MB

3. Generalization error, train and test sets.vtt

2.6 KB

4. Generalization and Overfitting Demonstration in Code.mp4

18.1 MB

4. Generalization and Overfitting Demonstration in Code.vtt

8.4 KB

5. Categorical inputs.mp4

8.6 MB

5. Categorical inputs.vtt

4.4 KB

6. One-Hot Encoding Quiz.mp4

4.0 MB

6. One-Hot Encoding Quiz.vtt

2.3 KB

7. Probabilistic Interpretation of Squared Error.mp4

8.5 MB

7. Probabilistic Interpretation of Squared Error.vtt

5.8 KB

8. L2 Regularization - Theory.mp4

7.0 MB

8. L2 Regularization - Theory.vtt

5.0 KB

9. L2 Regularization - Code.mp4

8.5 MB

9. L2 Regularization - Code.vtt

3.0 KB

/5. Conclusion and Next Steps/

1. Brief overview of advanced linear regression and machine learning topics.mp4

8.5 MB

1. Brief overview of advanced linear regression and machine learning topics.vtt

5.2 KB

2. Exercises, practice, and how to get good at this.mp4

7.5 MB

2. Exercises, practice, and how to get good at this.vtt

4.9 KB

/6. Appendix/

1. What is the Appendix.mp4

5.7 MB

1. What is the Appendix.vtt

3.4 KB

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

30.7 MB

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

14.4 KB

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

39.4 MB

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

39.5 MB

12. Python 2 vs Python 3.mp4

8.2 MB

12. Python 2 vs Python 3.vtt

5.5 KB

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

4.2 MB

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

3.1 KB

3. Windows-Focused Environment Setup 2018.mp4

195.3 MB

3. Windows-Focused Environment Setup 2018.vtt

17.8 KB

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

46.1 MB

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

12.7 KB

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

25.7 MB

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

20.3 KB

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

15.5 MB

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

11.9 KB

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

19.2 MB

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

13.1 KB

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

40.9 MB

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

28.4 KB

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

82.1 MB

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

12.5 KB

/

[FreeCourseLab.com].url

0.1 KB

 

Total files 102


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