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Digital Transformation for Tech Leaders

Machine Learning and AI Foundations: Value Estimations with Adam Geitgey

Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.

1h 4m • COURSE

Value estimation—one of the most common types of machine learning algorithms—can automatically estimate values by looking at related information. For example, a website can determine how much a house is worth based on the property's location and characteristics. In this project-based course, discover how to use machine learning to build a value estimation system that can deduce the value of a home. Follow Adam Geitgey as he walks through how to use sample data to build a machine learning model, and then use that model in your own programs. Although the project featured in this course focuses on real estate, you can use the same approach to solve any kind of value estimation problem with machine learning.

Topics include:

Setting up the development environment
Building a simple home value estimator
Finding the best weights automatically
Working with large data sets efficiently
Training a supervised machine learning model
Exploring a home value data set
Deciding how much data is needed
Preparing the features
Training the value estimator
Measuring accuracy with mean absolute error
Improving a system
Using the machine learning model to make predictions

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