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  1. Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

    Jupyter Notebook 383 230

  2. Notes and simulations on graduate level causal inference in statistics with applications to social sciences.

    16 6

  3. 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.

    Python 5 1

  4. Interactive web applications designed to teach concepts in statistics and engage students in the course material.

    JavaScript 2 2

  5. Introduction to different types of data analysis in Stata, Matlab, and R.

    Stata 2 2

  6. This repository includes my personal data on weight, food, exercise during a time period where I lost close to 40 pounds in around 5 months from adapting a fitness oriented life style.

    Stata 1

10 contributions in the last year

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Contribution activity

February - March 2021

hammadshaikhha has no activity yet for this period.

January 2021

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