Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.

📖 Heuristics for effective management

Tutorial for a new versioning Machine Learning pipeline

COMS W4995 Applied Machine Learning - Spring 18

A course in reinforcement learning in the wild

Python programs to practice or demonstrate skills.

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

A community run, 5-day PyTorch Deep Learning Bootcamp

Practice your pandas skills!

This repository contains apache spark tutorials implemented with pypsark. For some machine learning methods, there will be comparisons between pyspark and R results.

Material for training

repository for Community Mentor content related to the Johns Hopkins University Data Science Specialization on Coursera

Solutions for projects.

Material of the Kaggle Berlin meetup group!

Some class materials for a data processing course using PySpark

Full Stack Data Science in Python

OpenDataScience Machine Learning course (yet Russian-only)

Materials for Data Literacy in the Age of Machine Learning

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.

Course material for BST 260 in Fall 2017

Links to articles that I find interesting

Datos :: Exploratory Data Analysis

Minimal and clean examples of machine learning algorithms