Python data science workflow

Series: AI Bootcamp

This blogpost gives an overview of the typical steps one uses in a data science project.

Advanced Pandas

Series: AI Bootcamp

Using Pandas to chain operations similar to piping operations in dplyr in R

Sampling properties of estimators

Series: Miscellaneous

Explain the principles behind bias, efficiency and consistency of estimators intuitively using story-telling and simulations rather than relying on math.

The Frisch-Waugh-Lovell theorem

This blog post demonstrates the result of Frisch-Waugh-Lovell (FWL) theorem how it can be used to understand the equivalence of different fixed effects estimators used in panel data settings.

Sampling distributions of IVs

Series: Miscellaneous

The problem of weak and invalid IV from a sampling distribution perspective as explained by Peter Rossi in his 2014 Marketing Science article.