Ensemble Machine Learning Cookbook (True)

  • CategoryOther
  • TypeE-Books
  • LanguageEnglish
  • Total size72.6 MB
  • Uploaded Byfreecoursewb
  • Downloads4
  • Last checkedOct. 26th '22
  • Date uploadedOct. 26th '22
  • Seeders 1
  • Leechers4

Infohash : 38A8DC7DD30831A20B3F8DA1FE5FE1AFBF0AA6E0

Ensemble Machine Learning Cookbook (True)



https://DevCourseWeb.com

2019 | English | ISBN: 1789136601 | PDF MOBI EPUB (True) | 336 pages | 57 MB

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more

Key Features
Apply popular machine learning algorithms using a recipe-based approach
Implement boosting, bagging, and stacking ensemble methods to improve machine learning models
Discover real-world ensemble applications and encounter complex challenges in Kaggle competitions
Book Description
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 intellectual powers. This book will help you to implement popular machine learning algorithms to cover different paradigms of ensemble machine learning such as boosting, bagging, and stacking.

Files:

[ DevCourseWeb.com ] Ensemble Machine Learning Cookbook (True)
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    • Bonus Resources.txt (0.4 KB)
    • EnsembleMachineLearningCookbook.epub (17.5 MB)
    • EnsembleMachineLearningCookbook.mobi (37.9 MB)
    • EnsembleMachineLearningCookbook.pdf (17.2 MB)

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