Data-Science-and-Machine-Learning-from-Scratch. Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
440Causal-Inference-Mastery. Notes and simulations on graduate level causal inference in statistics with applications to social sciences.
24100_Days_of_ML_Code_Challenge. Diary of working on data science related learning and coding everyday for 100 days.
8Tools-and-Documents-for-Researchers. Scripts and documents (e.g. Git for version control, cron tab for scheduling script executions) that are likely to be useful to a wide array of researchers.
6Data-Analysis-Coding-Tutorials. Introduction to different types of data analysis in Stata, Matlab, and R.
5Educational-Web-Applications. Interactive web applications designed to teach concepts in statistics and engage students in the course material.
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