A beginner-friendly, 12-week curriculum on classic machine learning, written for people with little or no background in the field. It suits self-study, classroom use and anyone who wants to understand how common ML models work before moving on to deep learning.
The course has 26 lessons in Python. Each lesson has a pre-lecture quiz, written material, a challenge, an assignment and a post-lecture quiz, and some add video walkthroughs or project guides. Topics include regression, classification and clustering.
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