Udemy – K-Means for Cluster Analysis and Unsupervised Learning in R


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 data will be provided,How the K-Means algorithm works in general. Get an intuitive explanation with graphics that are easy to understand,Different types of K-meas; Fuzzy K-means, Weighted K-means and visualization of K-Means results in R,Evaluate Model Performance & Learn The Best Practices For Evaluating Machine Learning Model Accuracy,Implementing the K-Means algorithm in R from scratch. Get a really profound understanding of the working principle,Learn R-programming from scratch: R crash course is included that you could start R-programming for machine learning