Related Books
Language: en
Pages: 327
Pages: 327
Type: BOOK - Published: 2019-01-31 - Publisher: Packt Publishing Ltd
Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key FeaturesApply popular machine learning algori
Language: en
Pages: 284
Pages: 284
Type: BOOK - Published: 2019-07-19 - Publisher: Packt Publishing Ltd
Combine popular machine learning techniques to create ensemble models using Python Key FeaturesImplement ensemble models using algorithms such as random forests
Language: en
Pages: 376
Pages: 376
Type: BOOK - Published: 2018-07-27 - Publisher: Packt Publishing Ltd
Explore powerful R packages to create predictive models using ensemble methods Key Features Implement machine learning algorithms to build ensemble-efficient mo
Language: en
Pages: 285
Pages: 285
Type: BOOK - Published: 2018-03-09 - Publisher: "O'Reilly Media, Inc."
This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re
Language: en
Pages: 417
Pages: 417
Type: BOOK - Published: 2021-02-08 - Publisher: Packt Publishing Ltd
Comprehensive recipes to give you valuable insights on Transformers, Reinforcement Learning, and more Key FeaturesDeep Learning solutions from Kaggle Masters an