Train and understand regression models in machine learning

Module
9 Units

Beginner

AI Engineer

Data Scientist

Student

Azure

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

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Introduction min
What is regression? min
Exercise - Train a simple linear regression model min
Multiple linear regression and R-squared min
Exercise - Train a multiple linear regression model min
Polynomial Regression min
Exercise - Polynomial regression min
Module assessment min
Summary min