Train and understand regression models in machine learning
Regression is arguably the most widely used machine learning technique, commonly underlying scientific discoveries, business planning, and stock market analytics. This learning material takes a dive into some common regression analyses, both simple and more complex, and provides some insight on how to assess model performance.
Learning objectives
In this module, you will:
- Understand how regression works.
- Work with new algorithms: Linear regression, multiple linear regression, and polynomial regression.
- Understand the strengths and limitations of regression models.
- Visualize error and cost functions in linear regression.
- Understand basic evaluation metrics for regression.
Prerequisites
Familiarity with machine learning models