Python Programming

1. Apply K means clustering in this Data Set

Remove any null values by the mean.

Use the elbow method to find a good number of clusters with the KMeans algorithm

2.Calculate the silhouette score for the above clustering

3.Try feature scaling to see if it will improve the Silhouette score

4.Apply PCA on the same dataset.

Bonus points

1.Apply kmeans algorithm on the PCA result and report your observation if the score improved or not?

a.You can try different variation like PCA+KMEANS , SCALING+PCA+KMEANS.

2.Visualize the clustering of first bonus question