FreeTutorials Us data science linear regression in python | F7E59B68337C8D0D3CD5A6203DF9C6D6788E9675

FreeTutorials Us data science linear regression in python

Name	[FreeTutorials.Us] data-science-linear-regression-in-python	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	452.2 MB
Total Files	43
Hash	F7E59B68337C8D0D3CD5A6203DF9C6D6788E9675

/quizzes/
001 What can linear regression be used for.html	2.6 KB
/quizzes/
002 R-squared.html	2.5 KB
/quizzes/
003 R-squared.html	2.9 KB
/quizzes/
004 One-hot encoding.html	3.0 KB
/01 Introduction and Outline/
001 Introduction and Outline.mp4	6.6 MB
002 What is machine learning How does linear regression play a role.mp4	8.8 MB
003 Introduction to Moores Law Problem.mp4	4.6 MB
004 How to Succeed in this Course.mp4	9.2 MB
/02 1-D Linear Regression Theory and Code/
005 Define the model in 1-D derive the solution Updated Version.mp4	20.3 MB
006 Define the model in 1-D derive the solution.mp4	25.9 MB
007 Coding the 1-D solution in Python.mp4	15.1 MB
008 Determine how good the model is - r-squared.mp4	11.8 MB
009 R-squared in code.mp4	4.7 MB
010 Demonstrating Moores Law in Code.mp4	18.3 MB
/03 Multiple linear regression and polynomial regression/
011 Define the multi-dimensional problem and derive the solution Updated Version.mp4	15.1 MB
012 Define the multi-dimensional problem and derive the solution.mp4	37.8 MB
013 How to solve multiple linear regression using only matrices.mp4	3.2 MB
014 Coding the multi-dimensional solution in Python.mp4	15.6 MB
015 Polynomial regression - extending linear regression with Python code.mp4	17.2 MB
016 Predicting Systolic Blood Pressure from Age and Weight.mp4	12.9 MB
/04 Practical machine learning issues/
017 What do all these letters mean.mp4	10.1 MB
018 Interpreting the Weights.mp4	6.3 MB
019 Generalization error train and test sets.mp4	4.6 MB
020 Generalization and Overfitting Demonstration in Code.mp4	18.1 MB
021 Categorical inputs.mp4	8.6 MB
022 Probabilistic Interpretation of Squared Error.mp4	8.5 MB
023 L2 Regularization - Theory.mp4	6.9 MB
024 L2 Regularization - Code.mp4	8.5 MB
025 The Dummy Variable Trap.mp4	6.4 MB
026 Gradient Descent Tutorial.mp4	8.1 MB
027 Gradient Descent for Linear Regression.mp4	3.7 MB
028 Bypass the Dummy Variable Trap with Gradient Descent.mp4	8.9 MB
029 L1 Regularization - Theory.mp4	4.9 MB
030 L1 Regularization - Code.mp4	8.7 MB
031 L1 vs L2 Regularization.mp4	5.0 MB
/05 Conclusion and Next Steps/
032 Brief overview of advanced linear regression and machine learning topics.mp4	8.5 MB
033 Exercises practice and how to get good at this.mp4	7.5 MB
/06 Appendix/
034 BONUS Where to get Udemy coupons and FREE deep learning material.mp4	4.2 MB
035 How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4	46.0 MB
036 How to Code by Yourself part 1.mp4	25.7 MB
037 How to Code by Yourself part 2.mp4	15.5 MB
/
[FreeTutorials.Us].txt	0.1 KB
Freetutorials.Us.url	0.1 KB
Total files 43