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http://hdl.handle.net/123456789/1418Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Sarkar, Dipayan | - |
| dc.contributor.author | Natarajan, Vijayalakshmi | - |
| dc.date.accessioned | 2026-07-25T04:15:53Z | - |
| dc.date.available | 2026-07-25T04:15:53Z | - |
| dc.date.issued | 2019-01 | - |
| dc.identifier.isbn | 978-1-78913-660-9 | - |
| dc.identifier.uri | http://hdl.handle.net/123456789/1418 | - |
| dc.description.abstract | Ensemble modeling is an approach used to improve the performance of machine learning models. It combines two or more similar or dissimilar machine-learning algorithms to deliver superior powers. This book will help you to implement some popular machine- learning algorithms to cover different paradigms of ensemble machine learning, such as boosting, bagging, and stacking. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Packt Publishing | en_US |
| dc.relation.ispartofseries | 1300119; | - |
| dc.subject | Ensemble Machine Learning Cookbook | en_US |
| dc.title | Ensemble Machine Learning Cookbook | en_US |
| dc.title.alternative | Over 35 practical recipes to explore ensemble machine learning techniques using Python | en_US |
| dc.type | Book | en_US |
| Appears in Collections: | E-Books | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Ensemble Machine Learning Cookbook.pdf | 8.02 MB | Adobe PDF | View/Open |
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