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Introduction to Empirical Bayes: Examples from Baseball Statistics

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

Bayesian Modeling and Probabilistic Programming in Python

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

Tutorial on "Modern Optimization Methods in Python"

Code for a workshop on statistical interference using computational methods in Python.

Code for Tensorflow Machine Learning Cookbook

Code and slides for RStudio webinars

dplyr: A grammar of data manipulation

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

A Los Angeles Times analysis of Every shot in Kobe Bryant's NBA career

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Tutorial material on the scientific Python ecosystem

Notebooks and code for the book "Introduction to Machine Learning with Python"

Materials for the "Advanced Scikit-learn" class in the afternoon

Materials for the "Introduction to Machine Learning" class