Machine Learning and AI Foundations: Value Estimations
With Adam Geitgey
Liked by 2,450 users
Duration: 1h 4m
Skill level: Beginner + Intermediate
Released: 3/22/2017
Course details
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.
Skills you’ll gain
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.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Mukasa Brian
Mukasa Brian
Premises & Projects Officer at Stanbic Bank (U) Limited.
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Leandro Javier López
Leandro Javier López
Actuario
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Michael Nass
Michael Nass
Senior Domain Solution Lead at Telstra
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 7 quizzes
- Learn on the go Access on tablet and phone