Client behavior classification in Banking
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Dive into client behavior classification in banking using machine learning techniques. Learn how to categorize customer actions and predict future behavior for enhanced customer service.
At a Glance
The purpose of this project is to master the technique of classification of 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.).
What you will learn
- 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?
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