Handling Missing Data

What do you do when there is unknown or missing values in your data?

This lab will walk you through a number of ways to handle missing data including using a default value and building a model to predict the missing data based on other variables that are present in the data set.

Learning Objectives

Upon completion of this lab you will be able to:

• Import data using pandas
• Check for missing values
• Drop rows with missing data
• Replace missing values with default values
• Impute missing values using a prediction model

Intended Audience

This lab is intended for:

• Machine learning engineers
• Anyone interested in evaluating machine learning model performance

Prerequisites

You should possess:

• A basic understanding of Python

Updates

April 8th, 2022 - Updated instructions for clarity