Tutorialsplanet NET Udemy Deep Learning Prerequisites Linear Regression in Python

Tutorialsplanet NET Udemy Deep Learning Prerequisites Linear Regression in Python

Name	[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.3 GB
Total Files	102
Hash	414A605583E143AFC6AF14B432465FDEA713BF79

/1. Welcome/
1. Welcome.mp4	52.1 MB
1. Welcome.srt	4.6 KB
2. Introduction and Outline.mp4	6.6 MB
2. Introduction and Outline.srt	6.0 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.srt	6.0 KB
4. Introduction to Moore's Law Problem.mp4	4.6 MB
4. Introduction to Moore's Law Problem.srt	3.8 KB
5. What can linear regression be used for.html	0.2 KB
6. How to Succeed in this Course.mp4	3.5 MB
6. How to Succeed in this Course.srt	4.1 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).srt	14.4 MB
2. Define the model in 1-D, derive the solution.mp4	25.9 MB
2. Define the model in 1-D, derive the solution.srt	11.3 KB
3. Coding the 1-D solution in Python.mp4	15.1 MB
3. Coding the 1-D solution in Python.srt	5.8 KB
4. Exercise Theory vs. Code.mp4	1.1 MB
4. Exercise Theory vs. Code.srt	1.6 KB
5. Determine how good the model is - r-squared.mp4	20.7 MB
5. Determine how good the model is - r-squared.srt	4.8 KB
6. R-squared in code.mp4	4.7 MB
6. R-squared in code.srt	1.8 KB
7. Demonstrating Moore's Law in Code.mp4	18.3 MB
7. Demonstrating Moore's Law in Code.srt	7.1 KB
8. R-squared Quiz 1.mp4	2.9 MB
8. R-squared Quiz 1.srt	2.3 KB
/3. Multiple linear regression and polynomial regression/
2. Define the multi-dimensional problem and derive the solution.mp4	63.2 MB
2. Define the multi-dimensional problem and derive the solution.srt	13.2 KB
3. How to solve multiple linear regression using only matrices.mp4	3.2 MB
3. How to solve multiple linear regression using only matrices.srt	2.1 KB
4. Coding the multi-dimensional solution in Python.mp4	15.6 MB
4. Coding the multi-dimensional solution in Python.srt	5.3 KB
5. Polynomial regression - extending linear regression (with Python code).mp4	17.2 MB
5. Polynomial regression - extending linear regression (with Python code).srt	5.1 KB
6. Predicting Systolic Blood Pressure from Age and Weight.mp4	12.9 MB
6. Predicting Systolic Blood Pressure from Age and Weight.srt	5.6 KB
7. R-squared Quiz 2.mp4	3.7 MB
7. R-squared Quiz 2.srt	2.8 KB
/4. Practical machine learning issues/
1. What do all these letters mean.mp4	10.1 MB
1. What do all these letters mean.srt	8.1 KB
10. The Dummy Variable Trap.mp4	6.4 MB
10. The Dummy Variable Trap.srt	5.6 KB
11. Gradient Descent Tutorial.mp4	23.9 MB
11. Gradient Descent Tutorial.srt	5.6 KB
12. Gradient Descent for Linear Regression.mp4	3.7 MB
12. Gradient Descent for Linear Regression.srt	3.2 KB
13. Bypass the Dummy Variable Trap with Gradient Descent.mp4	8.9 MB
13. Bypass the Dummy Variable Trap with Gradient Descent.srt	3.7 KB
14. L1 Regularization - Theory.mp4	4.9 MB
14. L1 Regularization - Theory.srt	4.2 KB
15. L1 Regularization - Code.mp4	8.7 MB
15. L1 Regularization - Code.srt	3.6 KB
16. L1 vs L2 Regularization.mp4	5.0 MB
16. L1 vs L2 Regularization.srt	8.0 MB
17. Why Divide by Square Root of D.mp4	24.6 MB
17. Why Divide by Square Root of D.srt	8.9 KB
2. Interpreting the Weights.mp4	14.8 MB
2. Interpreting the Weights.srt	4.4 KB
3. Generalization error, train and test sets.mp4	4.6 MB
3. Generalization error, train and test sets.srt	40.9 MB
4. Generalization and Overfitting Demonstration in Code.mp4	18.1 MB
4. Generalization and Overfitting Demonstration in Code.srt	9.4 KB
5. Categorical inputs.mp4	8.6 MB
5. Categorical inputs.srt	4.9 KB
6. One-Hot Encoding Quiz.mp4	4.0 MB
6. One-Hot Encoding Quiz.srt	2.5 KB
7. Probabilistic Interpretation of Squared Error.mp4	9.0 MB
7. Probabilistic Interpretation of Squared Error.srt	6.6 KB
8. L2 Regularization - Theory.mp4	7.0 MB
8. L2 Regularization - Theory.srt	7.0 MB
9. L2 Regularization - Code.mp4	8.5 MB
9. L2 Regularization - Code.srt	3.5 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.srt	5.8 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.srt	5.5 KB
/6. Appendix FAQ/
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.srt	3.8 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).srt	30.8 MB
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).srt	49.7 MB
12. Python 2 vs Python 3.mp4	8.2 MB
12. Python 2 vs Python 3.srt	6.2 KB
2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	39.7 MB
2. BONUS Where to get Udemy coupons and FREE deep learning material.srt	62.3 MB
3. Windows-Focused Environment Setup 2018.mp4	195.3 MB
3. Windows-Focused Environment Setup 2018.srt	20.6 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.srt	14.8 KB
5. How to Code by Yourself (part 1).mp4	25.7 MB
5. How to Code by Yourself (part 1).srt	23.3 KB
6. How to Code by Yourself (part 2).mp4	15.5 MB
6. How to Code by Yourself (part 2).srt	20.5 MB
7. How to Succeed in this Course (Long Version).mp4	19.2 MB
7. How to Succeed in this Course (Long Version).srt	14.9 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.srt	32.5 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.srt	14.5 KB
/
[Tutorialsplanet.NET].url	0.1 KB
Total files 102