Technical Notes

Collection of personal data science notes. Topics include statistical testing, probability, machine learning, programming and others. References included.

Jupyter Notebooks

Data Science

1. Data Science

Machine Learning

1. Machine Learning
2. Recommendation Systems

Probability & Statistics

1. Introduction
2. Sample Questions
3. Hypothesis Testing Overview
4. Statistical Test Selection

Programming

1. SQL

Additional Resources

Data Science

1. http://hamelg.blogspot.com/2015/12/python-for-data-analysis-index.html
2. http://sebastianraschka.com/
3. http://cleverowl.uk/2016/02/06/curse-of-dimensionality-explained/
4. http://mlwave.com/kaggle-ensembling-guide/

Statistics

1. http://ocw.mit.edu/courses/mathematics/18-05-introduction-to-probability-and-statistics-spring-2014/index.htm
2. https://www.youtube.com/user/BCFoltz/playlists
3. http://ocw.mit.edu/courses/sloan-school-of-management/15-075j-statistical-thinking-and-data-analysis-fall-2011/index.htm
4. https://www.datarobot.com/blog/ordinary-least-squares-in-python/

SQL

1. http://sqlfiddle.com/
2. http://www.cheat-sheets.org/sites/sql.su/
3. http://sqlzoo.net/wiki/SQL_Tutorial

Unix

1. http://www.ee.surrey.ac.uk/Teaching/Unix/

Python

1. http://openbookproject.net/thinkcs/python/english3e/index.html
2. http://rosalind.info/problems/list-view/

Markdown

1. https://gist.github.com/jonschlinkert/5854601