A curated list of awesome places to learn and/or practice algorithms.

An opinionated list of awesome Python frameworks, libraries, software and resources.

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

All Algorithms implemented in Python

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.

A curated list of awesome responsible machine learning resources.

Tutorials for YData's Fabric platform

A directory listing of all my pandas canonicals on Stack Overflow to date.

In which I put together my thoughts on the practice of data science.

Statsmodels: statistical modeling and econometrics in Python

Code from the mCoding sample videos

Compound Poisson Linear Models

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

Create beautiful diagrams just by typing notation in plain text.

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

💯 Curated coding interview preparation materials for busy software engineers

👻 Utilities for analyzing Bayesian models and posterior distributions

Apache Ignite

Materials for GWU DNSC 6279 and DNSC 6290.

%%sql magic for IPython, hopefully evolving into full SQL client

📚 Parameterize, execute, and analyze notebooks

A curated list of awesome Deep Learning tutorials, projects and communities.

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

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

Python Data Science Handbook: full text in Jupyter Notebooks

Code accompanying the paper "AI in Actuarial Science"

Statistical Inference via Data Science: A ModernDive into R and the Tidyverse