Book

Machine Learning with scikit-learn Quick Start Guide

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 the important machine learning algorithms that scikit-learn provides.

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Difficulty Level

Intermediate

Completion Time

5h44m

Language

English

About Book

Who Is This Book For?

This book is for aspiring machine learning developers who want to get started with scikit-learn. Intermediate knowledge of Python programming and some fundamental knowledge of linear algebra and probability will help.

Book content

chapters 5h44m total length

Introducing Machine Learning with scikit-learn

Predicting categories with K-Nearest Neighbours

Predicting categories with Logistic Regression

Predicting categories with Naive Bayes and SVMs

Predicting numeric outcomes with Linear Regression

Classification & Regression with Trees

Clustering data with Unsupervised Machine Learning

Performance evaluation methods

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