Hands-on gradient boosting with XGBoost and scikit-learn : perform accessible machine learning and extreme gradient boosting with python /: perform accessible machine learning and extreme gradient boosting with python. (2020)

Record Type:
Book
Title:
Hands-on gradient boosting with XGBoost and scikit-learn : perform accessible machine learning and extreme gradient boosting with python /: perform accessible machine learning and extreme gradient boosting with python. (2020)
Main Title:
Hands-on gradient boosting with XGBoost and scikit-learn : perform accessible machine learning and extreme gradient boosting with python
Further Information:
Note: Corey Wade ; foreword by Kevin Glynn.
Authors:
Wade, Corey
Other Names:
Glynn, Kevin writer of supplementary textual content.
Contents:
Table of ContentsMachine Learning LandscapeDecision Trees in DepthBagging with Random ForestsFrom Gradient Boosting to XGBoostXGBoost UnveiledXGBoost HyperparametersDiscovering Exoplanets with XGBoostXGBoost Alternative Base LearnersXGBoost Kaggle MastersXGBoost Model Deployment.
Publisher Details:
Birmingham : Packt Publishing
Publication Date:
2020
Extent:
1 online resource
Subjects:
006.31
Machine learning
Python (Computer program language)
Languages:
English
ISBNs:
9781839213809
Related ISBNs:
9781839218354
Notes:
Note: Description based on CIP data; resource not viewed.
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.574452
Ingest File:
03_213.xml