Machine Learning and AI Foundations: Value Estimations

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Created by: Adam Geitgey

Produced in 2017

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Course Description

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.

Intermediate Level

Time: 1h 4m

Instructor Details

Adam Geitgey

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Adam Geitgey is a developer who is captivated by how machine learning is changing software development.

His background is in building large-scale websites and helping startups in Silicon Valley take advantage of machine learning. He has a passion for putting theory into practice- "taking cutting-edge developments in machine learning and sharing them with software developers of all skill levels.