mlcourse.ai is an open Machine Learning course by OpenDataScience, lead by Yury Kashnitsky (yorko). The course is designed to perfectly balance theory and practice. You can take part in several Kaggle Inclass competitions held during the course. From spring 2017 to fall 2019, 6 sessions of mlcourse.ai took place - 26k participants applied, 10k converted to passing the first assignment, about 1500 participants finished the course. Currently, the course is in a self-paced mode. Check out a thorough Roadmap guiding you through the self-paced mlcourse.ai.

Navigating this site:

on this page, you’ll find the main course content, see icons below

lectures - video recordings of mlcourse.ai lectures

prerequisites - what you need to join this course

assignments - links to demo assignments

roadmap - this guides through the self-paced version of the course

tutorials - tutorials written by course participants

resources - a list of all materials constituting the course

rating - top-performers of previous sessions

FAQ - Frequently Asked Questions

contacts - how to reach the course team

contrib - how you can help

Articles

