LINK of Shiny App: https://cql5441.shinyapps.io/Normal_Distribution_and_T_test/

This presentation is to show how the underlying structure of a data set can impact the performance of an unsupervised learning algorithm. For this example, we will use the K-mean learning algorithm, and two simulated data sets from the Fundamental Clustering Problem Suite

This is an example of the capabilities of R Markdown and the Leaflet R package by showing an interactive map of the great lakes

This is a quick intro to supervised machine learning via the Caret Package

This is a quick tutorial for Unsupervised Machine Learning.