Offered By: IBM
Client behavior prediction with AI model in Banking
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.
Continue readingGuided Project
Artificial Intelligence
292 EnrolledAt a Glance
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
- compare different types of classifiers
- create an ensemble of models
- create an ensemble of classifiers based on neural networks
- classify clients on the basis of developed models
Estimated Effort
2 Hours
Level
Expert
Industries
Banking
Skills You Will Learn
Artificial Intelligence, Data Science, Machine Learning
Language
English
Course Code
GPXX0H9BEN