Introduction to Statistical and Machine Learning Methods for Data Science

Chapter 3: Supervised Models – Statistical Approach

Chapter Overview

In this chapter, you will learn about supervised modeling. The term supervised refers to observations or cases where the target is known. Based on the known events, a model is trained to capture the relationship between the inputs and the target. There are several techniques and algorithms used in supervised modeling, including statistical models and machine learning models. Chapter 3 covers the statistical models, including linear and logistic regression models and decision trees. Chapter 4 covers the machine learning models.

The main goals of this chapter include:

• Explain the purpose of using statistical supervised models, focusing on linear regression, logistic regression, ...