Lesson 12: Machine Learning pt. 2

Concepts

In this lesson, you will learn the following concepts:

• How to handle categorical data

• How to assess the quality of a model

• The concept of overfitting

• Controlling model complexity with hyperparameters

Table of Contents

• Recap Terms
• The ML Pipeline: Categorical Data and Assessing Performance
• Practice: Machine Learning Questions
• When to Not Use ML
• Pause and Think
• Practice: Coding Machine Learning
• Practice: Reflecting on When to Not Use ML