FTUForum com UDEMY Deep Learning Prerequisites Linear Regression in Python FTU

FTUForum com UDEMY Deep Learning Prerequisites Linear Regression in Python FTU

Name	[FTUForum.com] [UDEMY] Deep Learning Prerequisites Linear Regression in Python [FTU]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	1.0 GB
Total Files	107
Hash	B62BA45397CA5D56CA69DE0D05850A70F673E212

/0. Websites you may like/
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3. (NulledPremium.com) Download Cracked Website Themes, Plugins, Scripts And Stock Images.url	0.2 KB
4. (FTUApps.com) Download Cracked Developers Applications For Free.url	0.2 KB
5. (Discuss.FTUForum.com) FTU Discussion Forum.url	0.3 KB
How you can help Team-FTU.txt	0.2 KB
/1. Welcome/
1. Welcome.mp4	33.6 MB
1. Welcome.vtt	4.1 KB
2. Introduction and Outline.mp4	29.8 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/
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
1. What do all these letters mean.mp4	10.1 MB
1. What do all these letters mean.vtt	7.2 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/
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	85.6 MB
11. What order should I take your courses in (part 2).vtt	39.5 MB
12. Python 2 vs Python 3.mp4	17.7 MB
12. Python 2 vs Python 3.vtt	5.5 KB
1. What is the Appendix.mp4	5.7 MB
1. What is the Appendix.vtt	3.4 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
Total files 107