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Kaggle Loan Default Prediction Project by WANG ERJIA is a document available to read on EtoBox.

The document provides information about a capstone project for an AI course where students will use machine learning to predict loan defaults on Kaggle. The objectives are to identify patterns indicating if a person will default to help the lending company, LendingClub, reduce losses from loans that are not repaid. Students will be provided loan data to build and evaluate models to predict loan status. Their performance will be assessed based on metrics like data cleaning, feature engineering, model impleme

Author
WANG ERJIA
Language
EN