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.
Offered by
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.
Machine Learning with scikit-learn Quick Start Guide
- About Book
- Who Is This Book For?
- Book Content
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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