Tree-based Machine Learning Algorithms
| Author | : Clinton Sheppard |
| Publisher | : Createspace Independent Publishing Platform |
| Total Pages | : 152 |
| Release | : 2017-09-09 |
| ISBN-10 | : 1975860977 |
| ISBN-13 | : 9781975860974 |
| Rating | : 4/5 (974 Downloads) |
Book Synopsis Tree-based Machine Learning Algorithms by : Clinton Sheppard
Download or read book Tree-based Machine Learning Algorithms written by Clinton Sheppard and published by Createspace Independent Publishing Platform. This book was released on 2017-09-09 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
