Ensemble Machine Learning Cookbook电子书

Title Page

Copyright and Credits

Ensemble Machine Learning Cookbook

About Packt

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Foreword

Contributors

About the authors

About the reviewers

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Preface

Who this book is for

What this book covers

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Download the example code files

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Conventions used

Sections

Getting ready

How to do it…

How it works…

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Get in touch

Reviews

Get Closer to Your Data

Introduction

Data manipulation with Python

Getting ready

How to do it...

How it works...

There's more...

See also

Analyzing, visualizing, and treating missing values

How to do it...

How it works...

There's more...

See also

Exploratory data analysis

How to do it...

How it works...

There's more...

See also

Getting Started with Ensemble Machine Learning

Introduction to ensemble machine learning

Max-voting

Getting ready

How to do it...

How it works...

There's more...

Averaging

Getting ready

How to do it...

How it works...

Weighted averaging

Getting ready

How to do it...

How it works...

See also

Resampling Methods

Introduction to sampling

Getting ready

How to do it...

How it works...

There's more...

See also

k-fold and leave-one-out cross-validation

Getting ready

How to do it...

How it works...

There's more...

See also

Bootstrapping

Getting ready

How to do it...

How it works...

See also

Statistical and Machine Learning Algorithms

Technical requirements

Multiple linear regression

Getting ready

How to do it...

How it works...

There's more...

See also

Logistic regression

Getting ready

How to do it...

How it works...

See also

Naive Bayes

Getting ready

How to do it...

How it works...

There's more...

See also

Decision trees

Getting ready

How to do it...

How it works...

There's more...

See also

Support vector machines

Getting ready

How to do it...

How it works...

There's more...

See also

Bag the Models with Bagging

Introduction

Bootstrap aggregation

Getting ready

How to do it...

How it works...

See also

Ensemble meta-estimators

Bagging classifiers

How to do it...

How it works...

There's more...

See also

Bagging regressors

Getting ready

How to do it...

How it works...

See also

When in Doubt, Use Random Forests

Introduction to random forests

Implementing a random forest for predicting credit card defaults using scikit-learn

Getting ready

How to do it...

How it works...

There's more...

See also

Implementing random forest for predicting credit card defaults using H2O

Getting ready

How to do it...

How it works...

There's more...

See also

Boosting Model Performance with Boosting

Introduction to boosting

Implementing AdaBoost for disease risk prediction using scikit-learn

Getting ready

How to do it...

How it works...

There's more...

See also

Implementing a gradient boosting machine for disease risk prediction using scikit-learn

Getting ready

How to do it...

How it works...

There's more...

Implementing the extreme gradient boosting method for glass identification using XGBoost with scikit-learn

Getting ready...

How to do it...

How it works...

There's more...

See also

Blend It with Stacking

Technical requirements

Understanding stacked generalization

Implementing stacked generalization by combining predictions

Getting ready...

How to do it...

How it works...

There's more...

See also

Implementing stacked generalization for campaign outcome prediction using H2O

Getting ready...

How to do it...

How it works...

There's more...

See also

Homogeneous Ensembles Using Keras

Introduction

An ensemble of homogeneous models for energy prediction

Getting ready

How to do it...

How it works...

There's more...

See also

An ensemble of homogeneous models for handwritten digit classification

Getting ready

How to do it...

How it works...

Heterogeneous Ensemble Classifiers Using H2O

Introduction

Predicting credit card defaulters using heterogeneous ensemble classifiers

Getting ready

How to do it...

How it works...

There's more...

See also

Heterogeneous Ensemble for Text Classification Using NLP

Introduction

Spam filtering using an ensemble of heterogeneous algorithms

Getting ready

How to do it...

How it works...

Sentiment analysis of movie reviews using an ensemble model

Getting ready

How to do it...

How it works...

There's more...

Homogenous Ensemble for Multiclass Classification Using Keras

Introduction

An ensemble of homogeneous models to classify fashion products

Getting ready

How to do it...

How it works...

See also

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