Credit-Scoring-Model

Rachid Effghi

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Data Analyst

Statistician

Python

PyTorch

scikit-learn

Credit-Scoring-Model

Delinquency Predictor: Credit Scoring Model Project
The goal is to build a credit scoring model that can predict serious delinquency based on the data of 10,000 borrowers. The data is contained in the 'Credit data.xlsx' dataset and includes various variables such as borrower characteristics, payment history, and financial information. By building a credit scoring model, the lender can use this model to assess the risk of serious delinquency for new borrowers and make informed lending decisions. The model will be trained and evaluated using the data from the 'Credit data.xlsx' dataset, and the performance of the model will be evaluated using appropriate metrics.
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Posted Jul 9, 2024

Delinquency Predictor: Credit Scoring Model Project - rachideffghi/Credit-Scoring-Model

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Data Analyst

Statistician

Python

PyTorch

scikit-learn

Business Intelligence Report for New-Ark Shoes Ltd.
Business Intelligence Report for New-Ark Shoes Ltd.
Data Analysis | RStudio
Data Analysis | RStudio