scikit-learn Cookbook

Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation



Bookstore > Books > scikit-learn Cookbook

Price$35.78 - $50.77
Rating
AuthorTrent Hauck
PublisherPackt Publishing
Published2014
Pages214
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101783989483
ISBN-139781783989485
EBook Hardcover Paperback

Python is quickly becoming the go-to language for analysts and data scientists due to its simplicity and flexibility, and within the Python data space, scikit-learn is the unequivocal choice for machine learning. Its consistent API and plethora of features help solve any machine learning problem it comes across.

The book starts by walking through different methods to prepare your data - be it a dataset with missing values or text columns that require the categories to be turned into indicator variables. After the data is ready, you'll learn different techniques aligned with different objectives - be it a dataset with known outcomes such as sales by state, or more complicated problems such as clustering similar customers. Finally, you'll learn how to polish your algorithm to ensure that it's both accurate and resilient to new datasets.





Similar Books


Mastering Machine Learning with scikit-learn

Mastering Machine Learning with scikit-learn

by Gavin Hackeling

This book examines machine learning models including logistic regression, decision trees, and support vector machines, and applies them to common problems such as categorizing documents and classifying images. It begins with the fundamentals of machine learning, introducing you to the supervised-unsupervised spectrum, the uses of training...

Price:  $26.99  |  Publisher:  Packt Publishing  |  Release:  2014

Mastering Predictive Analytics with scikit-learn and TensorFlow

Mastering Predictive Analytics with scikit-learn and TensorFlow

by Alan Fontaine

Python is a programming language that provides a wide range of features that can be used in the field of data science. Mastering Predictive Analytics with scikit-learn and TensorFlow covers various implementations of ensemble methods, how they are used with real-world datasets, and how they improve prediction accuracy in classification an...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018

Machine Learning Fundamentals

Machine Learning Fundamentals

by Hyatt Saleh

As machine learning algorithms become popular, new tools that optimize these algorithms are also developed. Machine Learning Fundamentals explains you how to use the syntax of scikit-learn. You'll study the difference between supervised and unsupervised models, as well as the importance of choosing the appropriate algorithm for each datas...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Python Machine Learning, 3rd Edition

Python Machine Learning, 3rd Edition

by Sebastian Raschka, Vahid Mirjalili

Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and working examples, the book covers all the esse...

Price:  $35.99  |  Publisher:  Packt Publishing  |  Release:  2019

Hands-On Machine Learning with Scikit-Learn and TensorFlow

Hands-On Machine Learning with Scikit-Learn and TensorFlow

by Aurelien Geron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, a...

Price:  $19.50  |  Publisher:  O'Reilly Media  |  Release:  2017

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition

by Aurelien Geron

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how.By using concrete examples, minimal theory, a...

Price:  $41.99  |  Publisher:  O'Reilly Media  |  Release:  2019

Keras Deep Learning Cookbook

Keras Deep Learning Cookbook

by Rajdeep Dua, Manpreet Singh Ghotra

Keras has quickly emerged as a popular deep learning library. Written in Python, it allows you to train convolutional as well as recurrent neural networks with speed and accuracy.The Keras Deep Learning Cookbook shows you how to tackle different problems encountered while training efficient deep learning models, with the help of the popul...

Price:  $34.99  |  Publisher:  Packt Publishing  |  Release:  2018

Machine Learning with scikit-learn Quick Start Guide

Machine Learning with scikit-learn Quick Start Guide

by Kevin Jolly

Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides.This book teaches you how to us...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2018