gangna/CS228T.2012
The programming assignments from CS228T offered in Spring 2012 at Stanford
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstartes basic data munging, analysis, and visualization techniques. Shows examples of supervised and unsupervised machine learning techniques.
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The programming assignments from CS228T offered in Spring 2012 at Stanford
A collaborative educational initiative in computational science and engineering.
Source Code for the book Building Machine Learning Systems with Python
Open Content for self-directed learning in data science