Resource Library

You’re invited to check out out all the different learning resources in the guide: problems and projects, former Google interview questions, online courses, education sites, videos, and more.

Find instructions on almost any ML task in this broad collection of technical notes, suitable for students of all levels. Topics include data preprocessing, statistics, deep learning, model evaluation, and many other ML techniques. Prerequisite: Python

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Chris Albon