# semasuka/Credit-card-approval-prediction-classification

<https://repo.masters-masters.com/en/repos/semasuka/Credit-card-approval-prediction-classification>

[Home](https://repo.masters-masters.com/en) › [semasuka](https://repo.masters-masters.com/en/owners/semasuka) › [Credit-card-approval-prediction-classification](https://repo.masters-masters.com/en/repos/semasuka/Credit-card-approval-prediction-classification)

semasuka/Credit-card-approval-prediction-classification has 307 stars on GitHub. Its RepoMasters card: Alpha tier. Credit risk analysis for credit card…

| Field | Value |
| --- | --- |
| Owner | [semasuka](https://repo.masters-masters.com/en/owners/semasuka) |
| Stars | 307 |
| Forks | 100 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2021 |
| Topics | credit-card, card, binary-classification, machine-learning, python, python3, scikit-learn, streamlit, numpy, pandas |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [semasuka/Credit-card-approval-prediction-classification](https://github.com/semasuka/Credit-card-approval-prediction-classification) |

## Repository

Credit risk analysis for credit card applicants

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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