Offered By: IBM
Client behavior classification in Banking
The purpose of this project is to master the technique of classification of clients in banking for machine learning models.
Continue readingGuided Project
Artificial Intelligence
288 Enrolled4.7
At a Glance
The purpose of this project is to master the technique of classification of clients in banking for machine learning models.
The purpose of this lab is to master classification clients in banking for machine learning models.
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.).
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:
- What are the most useful Python libraries for classification analysis?
- How to transform category data?
- How to create DataSet?
- How to do features selection?
- How to make, fit and visualize classification model?