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Overview
The powerful K-Means Clustering Algorithm for Cluster Analysis and Unsupervised Machine Learning in R What you'll learn: Understand unsupervised learning and clustering using R-programming language It covers both theoretical background of K-means clustering analysis as well as practical examples in R and R-Studio Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning How the K-Means algorithm is defined mathematically and how it is derived. How to implement K-Means very fast with R coding: examples of real...
Syllabus
- Introduction
- Software used in this course
- R Crash Course - get started with R-programming in R-Studio
- Unsupervised learning: K-Means in R: Theory & Practise
- Advanced K-Means Clustering Analysis
- Performance Evaluation of Unsupervised Learning CLustering Algorithms in R
- Your Independent Project in K-Means CLuster Analysis
- BONUS
Instructor
Kate Alison
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