Dataset For Credit Score Classification

Problem Statement
You are working as a data scientist in a global finance company. Over a year, the company has collected basic bank details and gathered a lot of credit related information. The management wants to build an intelligent system to segregate the people into credit score brackets to reduce the manual efforts. Given a person's credit related information build a machine learning model that can classify the credit score.

Task
Given a person’s credit-related information, build a machine learning model that can classify the credit score.

The dataset contains 1 lakh records with 28 features. There is an inherent chronological order within the dataset as for each customer 8 consecutive month period data is present across 8 records.