Python data science workflow
Series: AI Bootcamp
This blogpost gives an overview of the typical steps one uses in a data science project.
This blogpost gives an overview of the typical steps one uses in a data science project.
Using Pandas to chain operations similar to piping operations in dplyr in R
Explain the principles behind bias, efficiency and consistency of estimators intuitively using story-telling and simulations rather than relying on math.
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.
The problem of weak and invalid IV from a sampling distribution perspective as explained by Peter Rossi in his 2014 Marketing Science article.