# vishnukanduri/Credit-Risk-Modeling-in-Python

<https://repo.masters-masters.com/en/repos/vishnukanduri/Credit-Risk-Modeling-in-Python>

[Home](https://repo.masters-masters.com/en) › [vishnukanduri](https://repo.masters-masters.com/en/owners/vishnukanduri) › [Credit-Risk-Modeling-in-Python](https://repo.masters-masters.com/en/repos/vishnukanduri/Credit-Risk-Modeling-in-Python)

vishnukanduri/Credit-Risk-Modeling-in-Python has 101 stars on GitHub. Its RepoMasters card: Prototype tier. Modeled the credit risk associated with consumer…

| Field | Value |
| --- | --- |
| Owner | [vishnukanduri](https://repo.masters-masters.com/en/owners/vishnukanduri) |
| Stars | 101 |
| Forks | 36 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Topics | dummy-variables, credit-risk, loan-default-prediction, loans, modeling, python, pandas, tutorial, tutorial-code, numpy |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [vishnukanduri/Credit-Risk-Modeling-in-Python](https://github.com/vishnukanduri/Credit-Risk-Modeling-in-Python) |

## Repository

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 Logi…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
