Hands-On Ensemble Learning with Python
Ensemble learning can provide the necessary methods to improve the accuracy and performance of existing models. In this book, you'll understand how to combine different machine learning algorithms to produce more accurate results from your models.
Offered by
Difficulty Level
Intermediate
Completion Time
9h56m
Language
English
About Book
Who Is This Book For?
This book is for data analysts, data scientists, machine learning engineers and other professionals who are looking to generate advanced models using ensemble techniques. An understanding of Python code and basic knowledge of statistics is required to make the most out of this book.
Hands-On Ensemble Learning with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h56m total length
A Machine Learning Refresher
Getting Started with Ensemble Learning
Voting
Stacking
Bagging
Boosting
Random Forests
Clustering
Classifying Fraudulent Transactions
Predicting Bitcoin Prices
Evaluating Twitters Sentiment
Recommending Movies with Keras
Clustering Application: World Happiness
Related Resources
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