Tree-Based Machine Learning Algorithms : Decision Trees, Random Forests, And Boosting

Learn how to use decision trees and random forests for classification and regression, their respective limitations, and how the algorithms that build them work. Each chapter introduces a new data concern and then walks you through modifying the code, thus building the engine just-in-time. Along the way you will gain experience making decision trees and random forests work for you.--Back cover.

• | Author: Clinton Sheppard
• | Publisher: Createspace Independent Publishing Platform
• | Publication Date: Sep 09, 2017
• | Number of Pages: 152 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1975860977
• | ISBN-13: 9781975860974