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Overview
Harness Power of R for unsupervised machine Learning (k-means, hierarchical clustering) - With Practical Examples in R What you'll learn: Your complete guide to unsupervised learning and clustering using R-programming language It covers both theoretical background of UNSUPERVISED MACHINE LERANING as well as practical examples in R and R-Studio Fully understand the basics of Machine Learning, Cluster Analysis & Unsupervised Machine Learning Highly practical data science examples related to unsupervised machine learning and clustering Be Able To Harness The Power...
Syllabus
- Introduction
- Software used in this course
- R Crash Course - get started with R-programming in R-Studio
- Unsupervised learning: Hierarchical Clustering in R
- Unsupervised Learning: K-Means Clustering
- More Unsupervised Clustering techniques: Hands-On
- Performance Evaluation of Unsupervised Learning Clustering Algorithms in R
- Independent Project in Cluster Analysis based on Case Study
- Applied Example: unsupervised K-means learning for mapping applications
- Bonus
Instructor
Kate Alison
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