E-Book, Englisch, 336 Seiten
Sarkar / Unknown / Natarajan Ensemble Machine Learning Cookbook
1. Auflage 2019
ISBN: 978-1-78913-250-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
Over 35 practical recipes to explore ensemble machine learning techniques using Python
E-Book, Englisch, 336 Seiten
ISBN: 978-1-78913-250-2
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
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Table of Contents - Get Closer to Your Data with Exploratory Data Analysis
- Getting Started with Ensemble Machine Learning
- Resampling Methods
- Statistical & Machine Learning Algorithms
- Bag the Models with Bagging
- When in Doubt, use Random Forest
- Boost up Model Performance with Boosting
- Blend it with Stacking
- Homogeneous Ensemble for Hand-Written Digits Recognition
- Heterogeneous Ensemble Classifiers for Credit Card Default Prediction
- Heterogeneous Ensemble for Sentiment Analysis using NLP
- Heterogeneous Ensemble for Multi-Label Classification for Text Categorization