Build a model to identify inputs or predictors that differentiate risky customers from others (based on patterns pertaining to previous customers) and then use these inputs to predict new risky customers

Task-1

Research and describe one interesting application of data miningReminder about the Instructions:

Post an answer to the Discussion Question (100-word minimum).

Task-2

WEEK 3_HANDS-ON ACTIVITY: TECHNIQUES FOR PREDICTIVE MODELING

For this assignment, your goal is to build a model to identify inputs or predictors that differentiate risky customers from others (based on patterns pertaining to previous customers) and then use these inputs to predict new risky customers. This sample case is typical for this domain. Please choose one of the techniques for predictive modeling and provide a report justifying your selection and the model you built, and your conclusion.

Here is the sample data to be used in this hands-on activity.

Credit Risk Data.xlsx – this doc, i have upload please check

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