[FreeTutorials Us] data-science-linear-regression-in-python


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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 -
2.53 KB

    02 1-D Linear Regression Theory and Code
          quizzes/002 R-squared.html -
2.43 KB

    03 Multiple linear regression and polynomial regression
          quizzes/003 R-squared.html -
2.82 KB

    04 Practical machine learning issues
          quizzes/004 One-hot encoding.html -
2.93 KB

    01 Introduction and Outline
          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 -
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 -
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 -
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 -
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 -
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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