free hands on dive into practical Machine Learning

In this video, we go through the selfpaced roadmap and discuss how to approach the course in its selfpaced mode: articles to read, lectures to watch, and assignments to crack. Course: GitHub repository: Patreon to get bonus assignments: Russian version of the course: If you speak Russian, this is a preferred choice as there will be active sessions of the course (led by Peter Ermakov) with assignments, Kaggle competitions, networking, etc.