Machine Learning with Python: k-Means Clustering

Offered By: LinkedIn Learning

Tags

Machine Learning Courses Data Analysis Courses Data Visualization Courses Python Courses K-Means Clustering Courses

Course Description

Overview

Learn the basics of k-means clustering, one of the most popular unsupervised machine learning approaches.

Syllabus

Introduction

Getting started with Python and k-means clustering
What you should know
The tools you need
Using the exercise files

1. Understanding K-Means Clustering

What is clustering?
What is k-means clustering?
Choosing the right number of clusters
Why and when to use k-means clustering

2. Segmenting Data with K-Means Clustering

How to segment data with k-means clustering in Python
How to evaluate and visualize clusters in Python
How to find the right number of clusters in Python
How to interpret the results of k-means clustering in Python

Conclusion

Next steps

Taught by

Frederick Nwanganga

Related Courses

Predictive Analytics: Gaining Insights from Big Data
Queensland University of Technology via FutureLearn Cluster Analysis
University of Texas Arlington via edX Aprendizaje de máquinas
Universidad Nacional Autónoma de México via Coursera Foundations of Data Science: K-Means Clustering in Python
University of London International Programmes via Coursera Image Compression with K-Means Clustering
Coursera Project Network via Coursera