Lynda - Machine Learning and AI Foundations: Value Estimations

Lynda - Machine Learning and AI Foundations: Value Estimations

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.

https://www.lynda.com/Data-Science-tutorials/Machine-Learning-Essential-Training-Value-Estimations/548594-2.html

Introduction

1. What Is Machine Learning and Value Prediction?

2. An Overview of Building a Machine Learning System

3. Training Data

4. Features

5. Coding Our System

6. Improving Our System

7. Using the Estimator in a Real-World Program

Conclusion

Table of Contents

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