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What is EDA Case Study: Risk Analytics in Loans about?

This document describes an exploratory data analysis case study on loan application data for a consumer finance company. The objectives are to identify patterns that indicate if an applicant is likely to repay a loan or default, in order to minimize losses. The data is cleaned by dropping columns with many missing values, imputing missing values, and changing data types. Outliers are identified through boxplots. Target variables are analyzed, showing imbalance between default and non-default applicants. Biv

Author

Mallireddy Srinitha

Language

EN