This project demonstrates a collection of Data Science techniques using R. These include Data Analysis, Data Cleaning, Data Visualization, Support Vector Machines, Euclidean Distance, and K-Means Clustering.

A Banking Dataset is taken from Kaggle and applied 3 of the most used naive bayes formulas to get the accuracy

R script for performing k-means clustering with k=3 using Euclidean distance metric

Auto Matching of cases and controls by principal components