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Machine Learning for Everybody
Explore classification, regression and clustering, then see how common models are implemented in Python notebooks.
1 video lesson · 3 h 54 min ·taught by Kylie Ying
Lesson 1 of 1 · 3 h 54 min
Machine Learning for Everybody - full course
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Course quiz
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What you will learn
- Distinguish supervised and unsupervised learning
- Prepare features and split training data
- Compare classifiers, regression and clustering methods
Before you start
- Prerequisites
- Basic Python helps with the notebook demonstrations.
- Cost
- The video is free. Optional hosted notebook resources may have usage limits or paid tiers.
Videos are embedded from freeCodeCamp.org’s own channel and remain theirs. The quiz is written by MTT to help you check your understanding; it is not an official freeCodeCamp.org assessment.