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TORRENT DETAILS

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

TORRENT SUMMARY

	Status:	All the torrents in this section have been verified by our verification system
Category:	Other
Infohash	9eddd4119b64e840b18f625f301104cb21cce31f
Size:	942 MB in 99 files
Release Date(s):	Torrent Release: 17-05-2019 by user
Swarm:	0 Seeds & 1 Peers
Vote:	No votes yet.

DESCRIPTION

Udemy - Deep Learning Prerequisites: Linear Regression in Python

Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.

Created by Lazy Programmer Inc.
Last updated 3/2019

For more Udemy Courses: https://freecourselab.com

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FILE LIST

Filename		Size
	1. Welcome/1. Welcome.mp4	49.7 MB
	1. Welcome/1. Welcome.vtt	4 KB
	1. Welcome/2. Introduction and Outline.mp4	6.3 MB
	1. Welcome/2. Introduction and Outline.vtt	5.3 KB
	1. Welcome/3. What is machine learning How does linear regression play a role.mp4	8.4 MB
	1. Welcome/3. What is machine learning How does linear regression play a role.vtt	5.3 KB
	1. Welcome/4. Introduction to Moore's Law Problem.mp4	4.4 MB
	1. Welcome/4. Introduction to Moore's Law Problem.vtt	3.4 KB
	1. Welcome/5. What can linear regression be used for.html	143 B
	1. Welcome/6. How to Succeed in this Course.mp4	3.3 MB
	1. Welcome/6. How to Succeed in this Course.vtt	3.5 KB
	2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).mp4	19.3 MB
	2. 1-D Linear Regression Theory and Code/1. Define the model in 1-D, derive the solution (Updated Version).vtt	14.4 KB
	2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4	24.7 MB
	2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.vtt	9.6 KB
	2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4	14.4 MB
	2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.vtt	4.9 KB
	2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.mp4	1 MB
	2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.vtt	1.4 KB
	2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4	11.3 MB
	2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.vtt	4.1 KB
	2. 1-D Linear Regression Theory and Code/6. R-squared in code.mp4	4.5 MB
	2. 1-D Linear Regression Theory and Code/6. R-squared in code.vtt	1.5 KB
	2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.mp4	17.5 MB
	2. 1-D Linear Regression Theory and Code/7. Demonstrating Moore's Law in Code.vtt	6.2 KB
	2. 1-D Linear Regression Theory and Code/8. R-squared Quiz 1.mp4	2.8 MB
	2. 1-D Linear Regression Theory and Code/8. R-squared Quiz 1.vtt	2 KB
	3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4	14.4 MB
	3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).vtt	10.3 KB
	3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.mp4	36.1 MB
	3. Multiple linear regression and polynomial regression/2. Define the multi-dimensional problem and derive the solution.vtt	11.4 KB
	3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.mp4	3.1 MB
	3. Multiple linear regression and polynomial regression/3. How to solve multiple linear regression using only matrices.vtt	1.8 KB
	3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4	14.9 MB
	3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.vtt	4.5 KB
	3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).mp4	16.4 MB
	3. Multiple linear regression and polynomial regression/5. Polynomial regression - extending linear regression (with Python code).vtt	4.3 KB
	3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.mp4	12.3 MB
	3. Multiple linear regression and polynomial regression/6. Predicting Systolic Blood Pressure from Age and Weight.vtt	4.9 KB
	3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.mp4	3.5 MB
	3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.vtt	2.4 KB
	4. Practical machine learning issues/1. What do all these letters mean.mp4	9.6 MB
	4. Practical machine learning issues/1. What do all these letters mean.vtt	7 KB
	4. Practical machine learning issues/10. The Dummy Variable Trap.mp4	6.1 MB
	4. Practical machine learning issues/10. The Dummy Variable Trap.vtt	4.9 KB
	4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4	22.8 MB
	4. Practical machine learning issues/11. Gradient Descent Tutorial.vtt	4.8 KB
	4. Practical machine learning issues/12. Gradient Descent for Linear Regression.mp4	3.5 MB
	4. Practical machine learning issues/12. Gradient Descent for Linear Regression.vtt	2.8 KB
	4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.mp4	8.5 MB
	4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.vtt	3.1 KB
	4. Practical machine learning issues/14. L1 Regularization - Theory.mp4	4.7 MB
	4. Practical machine learning issues/14. L1 Regularization - Theory.vtt	3.6 KB
	4. Practical machine learning issues/15. L1 Regularization - Code.mp4	8.3 MB
	4. Practical machine learning issues/15. L1 Regularization - Code.vtt	3.1 KB
	4. Practical machine learning issues/16. L1 vs L2 Regularization.mp4	4.8 MB
	4. Practical machine learning issues/16. L1 vs L2 Regularization.vtt	3.7 KB
	4. Practical machine learning issues/2. Interpreting the Weights.mp4	6.1 MB
	4. Practical machine learning issues/2. Interpreting the Weights.vtt	3.7 KB
	4. Practical machine learning issues/3. Generalization error, train and test sets.mp4	4.4 MB
	4. Practical machine learning issues/3. Generalization error, train and test sets.vtt	2.6 KB
	4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4	17.3 MB
	4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.vtt	8.2 KB
	4. Practical machine learning issues/5. Categorical inputs.mp4	8.2 MB
	4. Practical machine learning issues/5. Categorical inputs.vtt	4.3 KB
	4. Practical machine learning issues/6. One-Hot Encoding Quiz.mp4	3.8 MB
	4. Practical machine learning issues/6. One-Hot Encoding Quiz.vtt	2.2 KB
	4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.mp4	8.1 MB
	4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.vtt	5.7 KB
	4. Practical machine learning issues/8. L2 Regularization - Theory.mp4	6.7 MB
	4. Practical machine learning issues/8. L2 Regularization - Theory.vtt	4.8 KB
	4. Practical machine learning issues/9. L2 Regularization - Code.mp4	8.1 MB
	4. Practical machine learning issues/9. L2 Regularization - Code.vtt	3 KB
	5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.mp4	8.1 MB
	5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.vtt	5.1 KB
	5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.mp4	7.2 MB
	5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.vtt	4.8 KB
	6. Appendix/1. What is the Appendix.mp4	5.5 MB
	6. Appendix/1. What is the Appendix.vtt	3.3 KB
	6. Appendix/10. What order should I take your courses in (part 1).mp4	29.3 MB
	6. Appendix/10. What order should I take your courses in (part 1).vtt	14.1 KB
	6. Appendix/11. What order should I take your courses in (part 2).mp4	37.6 MB
	6. Appendix/11. What order should I take your courses in (part 2).vtt	37.6 MB
	6. Appendix/12. Python 2 vs Python 3.mp4	7.8 MB
	6. Appendix/12. Python 2 vs Python 3.vtt	5.4 KB
	6. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4 MB
	6. Appendix/2. BONUS Where to get Udemy coupons and FREE deep learning material.vtt	3 KB
	6. Appendix/3. Windows-Focused Environment Setup 2018.mp4	186.3 MB
	6. Appendix/3. Windows-Focused Environment Setup 2018.vtt	17.4 KB
	6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4	43.9 MB
	6. Appendix/4. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt	12.4 KB
	6. Appendix/5. How to Code by Yourself (part 1).mp4	24.5 MB
	6. Appendix/5. How to Code by Yourself (part 1).vtt	19.8 KB
	6. Appendix/6. How to Code by Yourself (part 2).mp4	14.8 MB
	6. Appendix/6. How to Code by Yourself (part 2).vtt	11.6 KB
	6. Appendix/7. How to Succeed in this Course (Long Version).mp4	18.3 MB
	6. Appendix/7. How to Succeed in this Course (Long Version).vtt	12.8 KB
	6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4	39 MB
	6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt	27.8 KB

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