Problem Statement:
This dataset gives the data of Income and money spent by the customers visiting a shopping mall. The data set contains Customer ID, Gender, Age, Annual Income, Spending Score.
Therefore, as a mall owner you need to find the group of people who are the profitable
customers for the mall owner. Apply at least two clustering algorithms(based on Spending
Score) to find the group of customers.
Data Set: https://www.kaggle.com/shwetabh123/mall-customers
A. Apply Data pre-processing (Label Encoding, Data Transformation....) techniques if necessary.
B. Perform data-preparation (Train-Test Split)
C. Apply Machine Learning Algorithm
D. Evaluate Model.
E. Apply Cross-Validation and Evaluate Model
