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.

Offered byPackt Logo

Difficulty Level
Intermediate
Completion Time
5h44m approx.
Language
English
Certification
Not available

About Course

Book Content

chapters 5h44m total length

1. Introducing Machine Learning with scikit-learn
2. Predicting categories with K-Nearest Neighbours
3. Predicting categories with Logistic Regression
4. Predicting categories with Naive Bayes and SVMs
5. Predicting numeric outcomes with Linear Regression
6. Classification & Regression with Trees
7. Clustering data with Unsupervised Machine Learning
8. Performance evaluation methods

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