mshans66 / unsupervised-learning-clustering

A leading bank wants to develop a customer segmentation to give promotional offers to its customers. They collected a sample that summarizes the activities of users during the past few months. You are given the task to identify the segments based on credit card usage.

Unsupervised-Learning-Clustering

A leading bank wants to develop a customer segmentation to give promotional offers to its customers. They collected a sample that summarizes the activities of users during the past few months. You are given the task to identify the segments based on credit card usage. Data Dictionary

spending: Amount spent by the customer per month (in 1000s) advance_payments: Amount paid by the customer in advance by cash (in 100s) probability_of_full_payment: Probability of payment done in full by the customer to the bank current_balance: Balance amount left in the account to make purchases (in 1000s) credit_limit: Limit of the amount in credit card (10000s) min_payment_amt : minimum paid by the customer while making payments for purchases made monthly (in 100s) max_spent_in_single_shopping: Maximum amount spent in one purchase (in 1000s)