The file is present on this link: https://drive.google.com/file/d/1tmNuq5_P9bUVc5iVks8O964Dcb4XofPo/view?usp=sharing

If anyone could help solve this problem on Python.

Exercise 2 We shall work on a dataset of applicants for a credit. The dataset can be downloaded on the website of the course 1. Import the dataset clustering.csv into a dataframe df 2. We will use only two features ['ApplicantIncome', 'LoanAmount'] so that we can visualize the clusters on a 2D plane. Extract only these two features df_short=df [ ['ApplicantIncome', 'LoanAmount'] ] 3. Use K-means to perform clustering on these new data with K=2,3 clusters 4. (a) Include the additional feature Coapplicant Income df long=df [ ['CoapplicantIncome', 'ApplicantIncome', 'LoanAmount'] ] (b) Perform a PCA and thereafter perform clustering with K=2,3 clusters. What is your conclusion