Mastering Machine Learning with scikit-learn

Apply effective learning algorithms to real-world problems using scikit-learn



Bookstore > Books > Mastering Machine Learning with scikit-learn

Price$41.48
Rating
AuthorGavin Hackeling
PublisherPackt Publishing
Published2014
Pages238
LanguageEnglish
FormatPaper book / ebook (PDF)
ISBN-101783988363
ISBN-139781783988365
EBook Hardcover Paperback

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 and test data, and evaluating models. You will learn how to use generalized linear models in regression problems, as well as solve problems with text and categorical features.

You will be acquainted with the use of logistic regression, regularization, and the various loss functions that are used by generalized linear models. The book will also walk you through an example project that prompts you to label the most uncertain training examples. You will also use an unsupervised Hidden Markov Model to predict stock prices.




4 5 53

Similar Books


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 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

Hands-on Machine Learning with Python

Hands-on Machine Learning with Python

by Ashwin Pajankar, Aditya Joshi

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It als...

Price:  $38.06  |  Publisher:  Apress  |  Release:  2022

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition

by Aurelien Geron

Through a recent series of 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 bestselling book uses concrete examples, minimal theory, and production-re...

Price:  $21.99  |  Publisher:  O'Reilly Media  |  Release:  2022

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:  $42.48  |  Publisher:  O'Reilly Media  |  Release:  2019

Machine Learning with PyTorch and Scikit-Learn

Machine Learning with PyTorch and Scikit-Learn

by Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. 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 examples, the book covers all the...

Price:  $40.00  |  Publisher:  Packt Publishing  |  Release:  2022

Machine Learning with TensorFlow

Machine Learning with TensorFlow

by Nishant Shukla, Kenneth Fricklas

TensorFlow, Google's library for large-scale machine learning, simplifies often-complex computations by representing them as graphs and efficiently mapping parts of the graphs to machines in a cluster or to the processors of a single machine.Machine Learning with TensorFlow gives readers a solid foundation in machine-learning concept...

Price:  $5.60  |  Publisher:  Manning  |  Release:  2018