Look Who it Was Random video

7. Clustering Data with Unsupervised Machine Learning

236 views · Published 29 October 2018 · 2:53 · Indexed 8 October 2026

Channel: Packt · 2018 · Science & Technology

Watch on YouTube

Machine Learning with scikit-learn Quick Start Guide is available from: 

Packt.com: http://bit.ly/2FnS7km
Amazon: https://amzn.to/2FrjJ8k

This is the “Code in Action” video for chapter 7 of Machine Learning with scikit-learn Quick Start Guide by Kevin Jolly, published by Packt. It includes the following topics:


00:12- Creating the base k-means model
00:22- The optimal number of clusters
00:38- Scaling
00:44- Principal component analysis
01:11- t-SNE
02:09- Implementing hierarchical clustering
02:23- Creating a labeled dataset
02:29- Building the decision tree

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.

Connect with Packt:
Find us on Facebook: http://www.facebook.com/PacktPub
Find us on Twitter: http://www.twitter.com/packtpub

Video created by Kevin Jolly

More from this channel