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Client behavior prediction with AI model in Banking

ExpertGuided Project

The purpose of this laboratory is to develop different types of classifiers of artificial intelligence and their ensembles for the classification of customers in banking.

4.6 (57 Reviews)

Language

  • English

Topic

  • Artificial Intelligence

Industries

  • Banking

Enrollment Count

  • 517

Skills You Will Learn

  • Artificial Intelligence, Data Science, Machine Learning

Offered By

  • IBM

Estimated Effort

  • 2 hours

Platform

  • SkillsNetwork

Last Update

  • March 17, 2026
About this Guided Project
The purpose of this laboratory is to develop different types of classifiers of artificial intelligence and their ensembles for the classification of customers in banking.
During the work, the task of a preliminary analysis of a positive response (term deposit) to direct calls from the bank is solved. In essence, the task is the matter of bank scoring, i.e. according to the characteristics of clients (potential clients), their behavior is predicted (loan default, a wish to open a deposit, etc.).


What you will learn

After completing this lab, you will be able to:
  1. compare different types of classifiers
  2. create an ensemble of models
  3. create an ensemble of classifiers based on neural networks
  4. classify clients on the basis of developed models