<p><b>Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more </b></p> <h4>Key Features</h4> <ul><li>Apply popular machine learning algorithms using a recipe-based approach </li> <li>Implement boosting, bagging, and stacking ensemble methods to
Ensemble machine learning cookbook : over 35 practical recipes to explore ensemble machine learning techniques using Python
โ Scribed by Sarkar, Dipayan, author
- Publisher
- Birmingham, UK : Packt Publishing
- Year
- 2019
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
1 online resource (1 volume) :
๐ SIMILAR VOLUMES
Learn how to apply modern AI to create powerful cybersecurity solutions for malware, pentesting, social engineering, data privacy, and intrusion detection Key Features โข Manage data of varying complexity to protect your system using the Python ecosystem โข Apply ML to pentesting, malware, data p
<b>Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes</b><h2>About This Book</h2><ul> <li>A practical and concise guide to using Haskell when getting to grips with data analysis</li> <li>Recipes for every stage of data analysis, from col