Mastering Machine Learning with scikit-learn, Second Edition
Published on 27. July 2017
Book
Paperback/Softback
254 pages
978-1-78829-987-9 (ISBN)
Description
This book examines machine learning models including k-nearest neighbors, logistic regression, naive Bayes, random forests, and support vector machines. You will work through document classification, image recognition, and other example problems.
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Additional editions
Gavin Hackeling
Mastering Machine Learning with scikit-learn
Apply effective learning algorithms to real-world problems using scikit-learn
E-Book
07/2025
2nd Edition
Packt Publishing Limited
€37.49
Available for download
Person
Gavin Hackeling is a data scientist and author. He was worked on a variety of machine learning problems, including automatic speech recognition, document classification, object recognition, and semantic segmentation. An alumnus of the University of North Carolina and New York University, he lives in Brooklyn with his wife and cat.