Python for Deep Learning - Build Neural Networks in Python - Problem Statement

The video discusses how a bank can analyze customer behavior to determine if they will leave or stay. It explains the need for a predictive model to forecast customer actions, allowing the bank to offer incentives to those likely to leave. The video aims to clarify the problem statement and the importance of predictive modeling in customer retention strategies.

What is the primary goal of analyzing customer data in the bank?

• To improve customer service

• To reduce operational costs

• To determine if customers will leave or stay

• To increase the number of new customers

What is the purpose of creating a predictive model for the bank?

• To automate customer service

• To manage employee performance

• To predict customer behavior

• To enhance marketing strategies

How does the predictive model benefit the bank?

• By reducing transaction fees

• By identifying customers likely to leave

• By increasing loan approvals

• By improving branch locations

What action can the bank take for customers predicted to leave?

• Charge additional fees

• Offer special incentives

• Increase their interest rates

• Limit their account access

Why is it important for the bank to predict customer behavior?

• To lower the interest rates

• To increase the number of branches

• To reduce the number of employees

• To enhance customer satisfaction