Empirical quantitative marketing models for PhD level marketing students

Content for Udacity's Machine Learning curriculum

Starter project code for students taking Udacity ud120

Jupyter Notebooks for the Python Data Science Handbook

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

BLP-Python provides an implementation of random coefficient logit model of Berry, Levinsohn and Pakes (1995)

An Introduction to Data Wrangling with Python

Python BLP code (Berry Levinsohn Pakes)

The "Python Machine Learning" book code repository and info resource

Tutorial material on the scientific Python ecosystem

The Markdown Resume

Recreation of the "Optimal Replacement of GMC Bus Engines" paper by J. Rust, describing a single-agent dynamic optimization model.

Recreation of a dataset similar to Guadagni and Little 1983, and estimation of the parameters using a custom implementation of mixed logit

Open Content for self-directed learning in data science

37902 Advanced Quantitative Marketing - Pradeep Chintagunta

Official content for Harvard CS109

A Python-based web and data scraping tutorial

Statsmodels: statistical modeling and econometrics in Python

code for numerically solving dynamic programming problems