Applications of Classification, Clustering, Data Wrangling and Computations Using R Markdown

I created this repository to document my machine learning journey using programming language R, and formatting the codes using R Markdown. This repository includes applications of popular machine learning libraries in R such as:

"rpart",

"rpart.plot",

"xgboost",

"class" and others.

Each folder includes several code chunks which explain the processes in detail, including:

The links to access the datasets,

Names of libraries used,

Determining different ways to plot and use algorithms depending on the data and application, and

Brainstorming on the way ML algorithms work.

I would suggest going through vector and matrix computations, then regression, before diving into classification, clustering and data wrangling.