Bank-data-clustering-KMean-Clustering-and-PCA

Objectives

Using the bank credit card data we will perform Dimension Reduction and form cluster of data which acts similar.

Problem Statement

1. Primary analysis of several categorical features reveal

2. Exploratory Data Analysis

3. Perform dimensionality reduction using PCA such that the 95% of the variance is explained.

4. Finding the optimum value of k for k-means clustering using the elbow method. Plot the elbow curve.

5. Finding the optimum value of k for k-means clustering using the silhouette score method and specify the number of observations in each cluster using a bar plot.