R – Cluster Analysis & Unsupervised Machine Learning in R

Harness Power Of R for Machine Learning For Unsupervised Learning & CLustering In R and Google – With Practical Examples

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 Of R For Practical Data Science
You will have a glimpse on the power of cloud computimg with Google services (i.e. Earth Engine)
It covers a real-world application of K-means clustering for mapping tasks in UAE
Improve your R-programming and JavaScript coding skills
Implement Unsupervised Clustering Techniques Such As k-means Clustering and Hierarchical Clustering
Apply your newly learned skills to your independent project
Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy

The course is ideal for professionals who need to use cluster analysis, unsupervised machine learning and R in their field.
Everyone who would like to learn Data Science Applications In The R & R Studio Environment
Everyone who would like to learn theory and implementation of Unsupervised Learning On Real-World Data