---

Doing Bayesian Data Analysis

I have created Python code (PyMC3) for a selection of models and figures from the book 'Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan', Second Edition, by John Kruschke (2015).

---

Introduction to Statistical Learning

I have created of a repository containing Python code for a selection of tables, figures and LAB sections from the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013).

The repository has been referenced by KDnuggets, a leading site for Analytics, Big Data, Data Science, and Data Mining.

Linear Regression / Classification / Resampling Methods / Linear Model Selection and Regularization / Moving Beyond Linearity / Tree-Based Methods / Support Vector Machines / Unsupervised Learning