Ensemble Machine Learning Cookbook will start by getting you acquainted with the basics of ensemble techniques and exploratory data analysis. You’ll then learn to implement tasks related to statistical and machine learning algorithms to understand the ensemble of multiple heterogeneous algorithms. (Limited-time offer)
Table of Contents
- Get Closer to Your Data
- Getting Started with Ensemble Machine Learning
- Resampling Methods
- Statistical and Machine Learning Algorithms
- Bag the Models with Bagging
- When in Doubt, Use Random Forests
- Boosting Model Performance with Boosting
- Blend It with Stacking
- Homogeneous Ensembles Using Keras
- Heterogeneous Ensemble Classifiers Using H2O
- Heterogeneous Ensemble for Text Classification Using NLP
- Homogenous Ensemble for Multiclass Classification Using Keras
Download Free PDF / Read Online
Author(s): Dipayan Sarkar, Vijayalakshmi Natarajan
Publisher: Packt Publishing
Published: January 2019
Format(s): Online
File size: –
Number of pages: 336
Download / View Link(s): This offer has ended.
Free as of 10/22/2022.
Publisher: Packt Publishing
Published: January 2019
Format(s): Online
File size: –
Number of pages: 336
Download / View Link(s): This offer has ended.
Free as of 10/22/2022.