Description
Become a data explorer – learn how to leverage data and basic machine learning algorithms to understand the world.
What you’ll learn:
- Python programming and the Colab notebook programming environment
- Dependent and independent variables
- Coming up with relationships between data using linear and polynomial regression models
- Eecognizing how data is distributed
- How to observe noise in distributions and when to ignore it
- Categorize data into groups with classification models
- And more!
