vishnukanduri/Credit-Risk-Modeling-in-Python
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
Jupyter Notebook
Stargazers
- AnjumammarData Science Concept
- anwarsanJakarta, Indonesia
- arunsammitIndian Institute of Technology, Kharagpur
- bakcacia
- bansalr
- basilghauriSan Francisco Bay Area
- bill-ashAsset Based Lending
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- direct2subhajitKrednote Technologies Pvt. Ltd.
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- lktuanValidus Vietnam
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- sharp-007Beijing, China
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- surendra92
- surzuaBanco Itaú
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- vishnukanduriBuffalo, New York
- xavierigneousBank of America
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