Machine Learning and AI Foundations: Value Estimations
Machine Learning and AI Foundations: Value Estimations
Last updated 3/22/2017
Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 155 MB
Genre: eLearning | Language: English
Last updated 3/22/2017
Duration: 1h 4m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 155 MB
Genre: eLearning | Language: English
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.
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