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[Tutorialsplanet.NET] Udemy - Deep Learning Prerequisites Linear Regression in Python
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2021-7-13 16:39
2024-12-16 21:44
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Tutorialsplanet
NET
Udemy
-
Deep
Learning
Prerequisites
Linear
Regression
in
Python
文件列表
1. Welcome/1. Welcome.mp4
49.68MB
1. Welcome/2. Introduction and Outline.mp4
6.34MB
1. Welcome/3. What is machine learning How does linear regression play a role.mp4
8.43MB
1. Welcome/4. Anyone Can Succeed in this Course.mp4
83.98MB
1. Welcome/5. Statistics vs. Machine Learning.mp4
55.52MB
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/10. R-squared Quiz 1.mp4
2.8MB
2. 1-D Linear Regression Theory and Code/11. Suggestion Box.mp4
16.08MB
2. 1-D Linear Regression Theory and Code/2. Define the model in 1-D, derive the solution.mp4
24.66MB
2. 1-D Linear Regression Theory and Code/3. Coding the 1-D solution in Python.mp4
14.43MB
2. 1-D Linear Regression Theory and Code/4. Exercise Theory vs. Code.mp4
1.05MB
2. 1-D Linear Regression Theory and Code/5. Determine how good the model is - r-squared.mp4
11.3MB
2. 1-D Linear Regression Theory and Code/6. R-squared in code.mp4
4.5MB
2. 1-D Linear Regression Theory and Code/7. Introduction to Moore's Law Problem.mp4
4.41MB
2. 1-D Linear Regression Theory and Code/8. Demonstrating Moore's Law in Code.mp4
17.51MB
2. 1-D Linear Regression Theory and Code/9. Moore's Law Derivation.mp4
20.18MB
3. Multiple linear regression and polynomial regression/1. Define the multi-dimensional problem and derive the solution (Updated Version).mp4
14.44MB
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/3. How to solve multiple linear regression using only matrices.mp4
3.1MB
3. Multiple linear regression and polynomial regression/4. Coding the multi-dimensional solution in Python.mp4
14.92MB
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/6. Predicting Systolic Blood Pressure from Age and Weight.mp4
12.34MB
3. Multiple linear regression and polynomial regression/7. R-squared Quiz 2.mp4
3.5MB
4. Practical machine learning issues/1. What do all these letters mean.mp4
9.63MB
4. Practical machine learning issues/10. The Dummy Variable Trap.mp4
6.07MB
4. Practical machine learning issues/11. Gradient Descent Tutorial.mp4
22.8MB
4. Practical machine learning issues/12. Gradient Descent for Linear Regression.mp4
3.51MB
4. Practical machine learning issues/13. Bypass the Dummy Variable Trap with Gradient Descent.mp4
8.5MB
4. Practical machine learning issues/14. L1 Regularization - Theory.mp4
4.66MB
4. Practical machine learning issues/15. L1 Regularization - Code.mp4
8.26MB
4. Practical machine learning issues/16. L1 vs L2 Regularization.mp4
4.8MB
4. Practical machine learning issues/17. Why Divide by Square Root of D.mp4
23.49MB
4. Practical machine learning issues/2. Interpreting the Weights.mp4
14.15MB
4. Practical machine learning issues/3. Generalization error, train and test sets.mp4
4.39MB
4. Practical machine learning issues/4. Generalization and Overfitting Demonstration in Code.mp4
17.25MB
4. Practical machine learning issues/5. Categorical inputs.mp4
8.18MB
4. Practical machine learning issues/6. One-Hot Encoding Quiz.mp4
3.78MB
4. Practical machine learning issues/7. Probabilistic Interpretation of Squared Error.mp4
8.13MB
4. Practical machine learning issues/8. L2 Regularization - Theory.mp4
6.65MB
4. Practical machine learning issues/9. L2 Regularization - Code.mp4
8.08MB
5. Conclusion and Next Steps/1. Brief overview of advanced linear regression and machine learning topics.mp4
8.13MB
5. Conclusion and Next Steps/2. Exercises, practice, and how to get good at this.mp4
7.16MB
6. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4
186.29MB
6. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/1. How to Code by Yourself (part 1).mp4
24.54MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/2. How to Code by Yourself (part 2).mp4
14.81MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4
78.28MB
7. Extra Help With Python Coding for Beginners (FAQ by Student Request)/4. Python 2 vs Python 3.mp4
7.83MB
8/1. How to Succeed in this Course (Long Version).mp4
18.32MB
8/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.95MB
8/3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
29.32MB
8/4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
37.62MB
9. Appendix FAQ Finale/1. What is the Appendix.mp4
5.45MB
9. Appendix FAQ Finale/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.83MB
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