[FreeTutorials Us] data-science-linear-regression-in-python
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| Torrent Hash : | F7E59B68337C8D0D3CD5A6203DF9C6D6788E9675 |
| Torrent Added : | 1 Year+ in Other - Other |
| Torrent Size : | 431.25 MB |
[FreeTutorials Us] data-science-linear-regression-in-python
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Torrent File Content (43 files)
[FreeTutorials.Us] data-science-linear-regression-in-python
01 Introduction and Outline
quizzes/001 What can linear regression be used for.html -
01 Introduction and Outline
quizzes/001 What can linear regression be used for.html -
2.53 KB
02 1-D Linear Regression Theory and Code
quizzes/002 R-squared.html -
quizzes/002 R-squared.html -
2.43 KB
03 Multiple linear regression and polynomial regression
quizzes/003 R-squared.html -
quizzes/003 R-squared.html -
2.82 KB
04 Practical machine learning issues
quizzes/004 One-hot encoding.html -
quizzes/004 One-hot encoding.html -
2.93 KB
01 Introduction and Outline
001 Introduction and Outline.mp4 -
001 Introduction and Outline.mp4 -
6.33 MB
002 What is machine learning How does linear regression play a role.mp4 -
8.43 MB
003 Introduction to Moores Law Problem.mp4 -
4.41 MB
004 How to Succeed in this Course.mp4 -
8.78 MB
02 1-D Linear Regression Theory and Code
005 Define the model in 1-D derive the solution Updated Version.mp4 -
005 Define the model in 1-D derive the solution Updated Version.mp4 -
19.34 MB
006 Define the model in 1-D derive the solution.mp4 -
24.66 MB
007 Coding the 1-D solution in Python.mp4 -
14.43 MB
008 Determine how good the model is - r-squared.mp4 -
11.3 MB
009 R-squared in code.mp4 -
4.5 MB
010 Demonstrating Moores Law in Code.mp4 -
17.5 MB
03 Multiple linear regression and polynomial regression
011 Define the multi-dimensional problem and derive the solution Updated Version.mp4 -
011 Define the multi-dimensional problem and derive the solution Updated Version.mp4 -
14.43 MB
012 Define the multi-dimensional problem and derive the solution.mp4 -
36.07 MB
013 How to solve multiple linear regression using only matrices.mp4 -
3.09 MB
014 Coding the multi-dimensional solution in Python.mp4 -
14.91 MB
015 Polynomial regression - extending linear regression with Python code.mp4 -
16.39 MB
016 Predicting Systolic Blood Pressure from Age and Weight.mp4 -
12.34 MB
04 Practical machine learning issues
017 What do all these letters mean.mp4 -
017 What do all these letters mean.mp4 -
9.63 MB
018 Interpreting the Weights.mp4 -
6.04 MB
019 Generalization error train and test sets.mp4 -
4.38 MB
020 Generalization and Overfitting Demonstration in Code.mp4 -
17.25 MB
021 Categorical inputs.mp4 -
8.18 MB
022 Probabilistic Interpretation of Squared Error.mp4 -
8.13 MB
023 L2 Regularization - Theory.mp4 -
6.59 MB
024 L2 Regularization - Code.mp4 -
8.08 MB
025 The Dummy Variable Trap.mp4 -
6.07 MB
026 Gradient Descent Tutorial.mp4 -
7.7 MB
027 Gradient Descent for Linear Regression.mp4 -
3.5 MB
028 Bypass the Dummy Variable Trap with Gradient Descent.mp4 -
8.5 MB
029 L1 Regularization - Theory.mp4 -
4.66 MB
030 L1 Regularization - Code.mp4 -
8.26 MB
031 L1 vs L2 Regularization.mp4 -
4.8 MB
05 Conclusion and Next Steps
032 Brief overview of advanced linear regression and machine learning topics.mp4 -
032 Brief overview of advanced linear regression and machine learning topics.mp4 -
8.13 MB
033 Exercises practice and how to get good at this.mp4 -
7.16 MB
06 Appendix
034 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 -
034 BONUS Where to get Udemy coupons and FREE deep learning material.mp4 -
4.02 MB
035 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 -
43.92 MB
036 How to Code by Yourself part 1.mp4 -
24.53 MB
037 How to Code by Yourself part 2.mp4 -
14.8 MB
[FreeTutorials.Us].txt -
75 bytes
Freetutorials.Us.url -
119 bytes
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