Overview
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Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world.
Syllabus
- Python programming and the Colab notebook programming environment
- Dependent and independent variables
- Coming up with relationships between data using linear and polynomial regression models
- Recognizing how data is distributed
- How to observe noise in distributions and when to ignore it
- Categorize data into groups with classification models
- And more!
Taught by
Aleksander Madry, Ana Bell, and Silvina Honono Wachman