{"id":19984172,"url":"https://github.com/arya2004/credit-score-classification","last_synced_at":"2025-04-06T10:38:23.196Z","repository":{"id":227343331,"uuid":"771135858","full_name":"arya2004/credit-score-classification","owner":"arya2004","description":"Credit Score Classification in R using various algorithms","archived":false,"fork":false,"pushed_at":"2025-01-26T14:49:17.000Z","size":38857,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-12T16:18:16.644Z","etag":null,"topics":["knn-classification","random-forest","svm-classifier"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arya2004.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-03-12T18:46:39.000Z","updated_at":"2025-01-26T14:49:14.000Z","dependencies_parsed_at":"2024-06-10T12:52:42.197Z","dependency_job_id":null,"html_url":"https://github.com/arya2004/credit-score-classification","commit_stats":null,"previous_names":["arya2004/credit_score_classification","arya2004/credit-score-classification"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arya2004%2Fcredit-score-classification","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arya2004%2Fcredit-score-classification/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arya2004%2Fcredit-score-classification/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arya2004%2Fcredit-score-classification/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arya2004","download_url":"https://codeload.github.com/arya2004/credit-score-classification/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247471280,"owners_count":20944153,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["knn-classification","random-forest","svm-classifier"],"created_at":"2024-11-13T04:17:50.069Z","updated_at":"2025-04-06T10:38:23.178Z","avatar_url":"https://github.com/arya2004.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Credit Score Classification\n\nThis repository contains the code, data, and models for a credit score classification project. The goal of this project is to build and evaluate machine learning models to predict credit scores based on provided data.\n\n## Repository Structure\n\n- `data/`\n  - `processed/`:\n    - This directory will contain processed datasets.\n  - `raw/`:\n    - `old_test.csv`: Previous version of the test dataset.\n    - `old_train.csv`: Previous version of the train dataset.\n    - `test.csv`: Current test dataset.\n    - `train.csv`: Current train dataset.\n\n- `models/`:\n  - `f_model.rds`: Final model saved as an RDS file.\n  - `mlr.rds`: Multi-layer perceptron model.\n  - `old_rf_model.rds`: Old random forest model.\n  - `smote_model.rds`: Model trained with SMOTE.\n  - `v2_smote_model.rds`: Version 2 of the SMOTE model.\n\n- `reports/`:\n  - `newplot.png`: Plot generated during the analysis.\n\n\n\n- `src/R/`:\n  - `data_preprocessing.ipynb`: Jupyter notebook for data preprocessing.\n  - `logistic_regression.ipynb`: Jupyter notebook for logistic regression model.\n  - `naive_bayes.ipynb`: Jupyter notebook for Naive Bayes model.\n  - `old_data_preprocessing.ipynb`: Old version of data preprocessing.\n  - `old_logistic_regression.ipynb`: Old version of logistic regression model.\n  - `old_naive_bayes.ipynb`: Old version of Naive Bayes model.\n  - `old_random_forest.ipynb`: Old version of random forest model.\n  - `old_svm.ipynb`: Old version of support vector machine model.\n  - `random_forest.ipynb`: Jupyter notebook for random forest model.\n\n- `website/`:\n  - `webapp.ipynb`: Jupyter notebook for creating a web application.\n\n- `.gitignore`: Git ignore file to exclude unnecessary files from version control.\n- `CONTRIBUTING.md`: Guidelines for contributing to this repository.\n- `README.md`: This file.\n\n## Getting Started\n\n### Prerequisites\n\n- R and RStudio\n- Jupyter Notebook\n- Required R libraries (listed in the notebooks)\n\n### Installation\n\n1. Clone the repository:\n\n```bash\ngit clone https://github.com/arya2004/credit_score_classification.git\n```\n\n2. Navigate to the project directory:\n\n```bash\ncd credit_score_classification\n```\n\n3. Install the required libraries. You can find the list of required libraries in each Jupyter notebook (e.g., `random_forest.ipynb`).\n\n### Usage\n\n1. **Data Preprocessing**:\n   - Use `src/R/data_preprocessing.ipynb` to preprocess the raw data.\n\n2. **Model Training**:\n   - Train different models using the respective notebooks in `src/R/` (e.g., `logistic_regression.ipynb`, `naive_bayes.ipynb`, `random_forest.ipynb`).\n\n3. **Model Evaluation**:\n   - Evaluate the models and compare their performance.\n\n4. **Web Application**:\n   - Create a web application using `website/webapp.ipynb` to deploy the final model.\n\n## Contributing\n\nPlease read the `CONTRIBUTING.md` file for guidelines on contributing to this project.\n\n## License\n\nThis project is licensed under the CC0-1.0 license - see the `LICENSE.md` file for details.\n\n## Acknowledgements\n\n- Thanks to Professor Abha Marathe who guided this project.\n- Thanks to all the contributors.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farya2004%2Fcredit-score-classification","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farya2004%2Fcredit-score-classification","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farya2004%2Fcredit-score-classification/lists"}