{"id":19418290,"url":"https://github.com/zeyadusf/credit-score-classification","last_synced_at":"2026-06-10T22:31:39.875Z","repository":{"id":184357743,"uuid":"667913442","full_name":"zeyadusf/Credit-score-classification","owner":"zeyadusf","description":"Credit Score Classification - ML ","archived":false,"fork":false,"pushed_at":"2023-08-26T13:41:06.000Z","size":45779,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-25T03:41:58.226Z","etag":null,"topics":["classification","machine-learning","missing-values","pycaret","random-forest","tableau"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv align=\"center\"\u003e\n  \n# Credit Score Classification\n\n\u003c/div\u003e\n\n![img](https://github.com/zeyadusf/Credit-score-classification/assets/83798621/00c2269c-5954-4ee3-9ae4-8313a697e690)\n\n\n\u003cdiv align=\"center\"\u003e\n  \u003ca href=\"https://github.com/zeyadusf/Credit-score-classification/graphs/contributors\"\u003e\n  \u003cimg src=\"https://img.shields.io/github/contributors/zeyadusf/Credit-score-classification.svg?style=flat\" alt=\"Contributors\" /\u003e\n\u003c/a\u003e\n\n  \u003ca href=\"https://github.com/zeyadusf/Credit-score-classification/issues\"\u003e\n  \u003cimg src=\"https://img.shields.io/github/issues/zeyadusf/Credit-score-classification.svg?style=flat\" alt=\"issues\" /\u003e\n\u003c/a\u003e\n\n\u003ca href=\"https://github.com/zeyadusf/Credit-score-classification/network/members\"\u003e\n  \u003cimg alt=\"Github forks\" src=\"https://img.shields.io/github/forks/zeyadusf/Credit-score-classification.svg\" alt=\"forks\"/\u003e\n\u003c/a\u003e\n\n \u003ca href=\"https://github.com/zeyadusf/Credit-score-classification/stargazers\"\u003e\n  \u003cimg alt=\"Github stars\" src=\"https://img.shields.io/github/stars/zeyadusf/Credit-score-classification?color=56BEB8\"  alt=\"stars\" /\u003e\n\u003c/a\u003e\n\n\u003cimg alt=\"Github top language\" src=\"https://img.shields.io/github/languages/top/zeyadusf/Credit-score-classification?color=yellow\"\u003e\n\u003cimg alt=\"Github language count\" src=\"https://img.shields.io/github/languages/count/zeyadusf/Credit-score-classification?color=blue\"\u003e  \n\u003cimg alt=\"Repository size\" src=\"https://img.shields.io/github/repo-size/zeyadusf/Credit-score-classification?color=56BEB8\"\u003e\n\u003cimg alt=\"License\" src=\"https://img.shields.io/github/license/zeyadusf/Credit-score-classification?color=green\"\u003e\n\n\u003c/div\u003e\n\n## :dart: About : ##\n\n  The Credit Score Classification project aimed to develop a robust and accurate system for classifying credit scores. Credit score classification plays a vital role in assessing an individual's creditworthiness and determining their eligibility for loans, credit cards, and other financial services. It is a crucial component of risk assessment for financial institutions, helping them make informed decisions while minimizing the risk of defaults.\n\n  The missing data was dealt with in a way that is correct for the real values, and then the models were built.\n  \nTwo models were built with different approaches:\n  * PyCaret:\n    - Extra Trees Classifier.\n    - Random Forest Classifier\n    - Extreme Gradient Boosting.\n    - K Neighbors Classifier.\n    - Decision Tree Classifier.\n* RandomForest.\n\n\n🔗 \u003cb\u003e[More Details](Credit%20Score%20Classification.pdf)\u003c/b\u003e in Presentaion .\n\n \u003cB\u003eNoteBooks in Kaggel\u003c/b\u003e :\n  - 🔗 \u003cb\u003e Part One : [CreditScore_Part1_HandleMissingWithCorrectValues](https://www.kaggle.com/zeyadusf/creditscore-part1-handlemissing) \n  - 🔗 \u003cb\u003e Part Two : [CreditScoreClassification_Part2(EDA\u0026Models)86.6%](https://www.kaggle.com/code/zeyadusf/creditscoreclassification-part2-eda-models-86-6) \n\n🔗\u003cb\u003eDataset in kaggle :\u003c/b\u003e [Credit score classification](https://www.kaggle.com/datasets/parisrohan/credit-score-classification)\n\n## :rocket: Technologies ##\n\u003cp align='center'\u003e\n\u003cimg src=https://raw.githubusercontent.com/devicons/devicon/master/icons/python/python-original-wordmark.svg width=\"45\" height=\"45\" /\u003e\n\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/vscode/vscode-original.svg\" alt=\"vscode\" width=\"45\" height=\"45\"/\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/devicons/devicon/master/icons/jupyter/jupyter-original-wordmark.svg\" alt=\"Jupyter\" width=\"45\" height=\"45\" /\u003e\n\u003cimg src=\"https://cdn.jsdelivr.net/gh/devicons/devicon/icons/git/git-original.svg\" alt=\"git\" width=\"45\" height=\"45\"/\u003e\n\u003cimg src=\"https://github.com/zeyadusf/Credit-score-classification/assets/83798621/9fb41e8f-e623-4f1c-9aa2-73dddcc46189\" alt=\"git\" width=\"180\" height=\"45\"/\u003e\n\n\u003c/p\u003e\n\n## 🚩 Requirement ##\n* Pycaret Library.\n\n  ```\n  #install pycaret\n  ! pip install pycaret\n  ```\n  ```\n  # check installed version\n  import pycaret\n  pycaret.__version__\n  ```\n\n    - You can read this content to know more about [tutorials Pycaret](https://nbviewer.org/github/pycaret/pycaret/blob/master/tutorials/Tutorial%20-%20Binary%20Classification.ipynb) .\n\n* Download this dataset to save yourself time running codes to eliminate Missing Values - [preprocessedMissing_dataset](Preprocessed_Missing_dataset.csv) [Optional]\n\n\n  \u003chr\u003e\n  \n\u003c!--Social Media--\u003e\n### :email: Contact ##\n\u003cp align=\"center\"\u003e\n \u003ca href=\"https://www.facebook.com/ziayd.yosif\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-Zeyad Usf-1877F2?style=flat\u0026logo=facebook\u0026logoColor=white\" alt=\"Facebook\" /\u003e\n\u003c/a\u003e\n\n\u003ca href=\"https://www.instagram.com/zeyadusf/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-zeyadusf-white?style=flat\u0026logo=instagram\u0026logoColor=#E65468\" alt=\"Instagram\" /\u003e\n\u003c/a\u003e\n\n\n\u003ca href=\"https://www.linkedin.com/in/zeyadusf/\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-Zeyad Usf-0077B5?style=flat\u0026logo=linkedin\u0026logoColor=white\" alt=\"LinkedIn\" /\u003e\n\u003c/a\u003e\n\n\u003ca href=\"https://github.com/zeyadusf\" target=\"_blank\"\u003e\n  \u003cimg src=\"https://img.shields.io/badge/-@zeyadusf-181717?style=flat\u0026logo=github\u0026logoColor=white\" alt=\"GitHub\" /\u003e\n\u003c/a\u003e\n\u003c/p\u003e\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeyadusf%2Fcredit-score-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzeyadusf%2Fcredit-score-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeyadusf%2Fcredit-score-classification/lists"}