Forecasting Time Series Data with Prophet- Second Edition, published by Packt

Code repository for the online course Machine Learning Interpretability

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Comparison tools

Compendium of free ML reading resources

nannyml: post-deployment data science in python

Code and Slides

Time should be taken seer-iously

Dockerized Jupyter notebook to run commands from the ML Python Cookbook

Materials for "Bayesian Methods for Machine Learning" Coursera MOOC

Repository with all files and data needed for Dash by Plotly post.

Content from Coursera's ADVANCED MACHINE LEARNING Specialization (Deep Learning, Bayesian Methods, Natural Language Processing, Reinforcement Learning, Computer Vision).

Solutions of Coursera course on Bayesian Methods by Higher School of Economics

R's data.table package extends data.frame:

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

Exercises and code examples for the book "Command Line Git - Everything You Need to Know to Get Started"

Applied Machine Learning with Python

Natural Gradient Boosting for Probabilistic Prediction

A collection of outlier detectors and code to generate synthetic test data

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

Simple, unified interface to multiple Generative AI providers

End-to-end deep learning on your desktop or server.

Tutorial on model assessment, model selection and inference after model selection

Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)