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.
Click here to enroll in Machine Learning and AI Foundations: Value Estimations, the best course out there for beginners by the top instructors of LinkedIn Learning.
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.
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
- Showcase on your LinkedIn profile under “Licenses and Certificate” section
- Download or print out as PDF to share with others
- Share as image online to demonstrate your skill
Start your free trial month at LinkedIn Learning (if you haven’t already), and enroll in Machine Learning and AI Foundations: Value Estimations.