{"id":25536403,"url":"https://github.com/yashksaini-coder/binary-classification-churn-prediction","last_synced_at":"2025-04-11T14:50:50.412Z","repository":{"id":220855285,"uuid":"751953151","full_name":"yashksaini-coder/Binary-Classification-Churn-Prediction","owner":"yashksaini-coder","description":"Bank Churn Binary Classification Project | Prediction of the bank churn implementing the Ensemble model building technique. ","archived":false,"fork":false,"pushed_at":"2024-03-13T15:01:08.000Z","size":19457,"stargazers_count":16,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-25T11:01:33.079Z","etag":null,"topics":["classification","data-science","ensemble-learning","machine-learning","machine-learning-algorithms","supervised-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/yashksaini-coder.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"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":"2024-02-02T17:31:11.000Z","updated_at":"2025-01-06T07:54:26.000Z","dependencies_parsed_at":"2025-02-20T04:33:10.624Z","dependency_job_id":"17b2c95f-61a6-4c48-b7f7-e09835be9ec1","html_url":"https://github.com/yashksaini-coder/Binary-Classification-Churn-Prediction","commit_stats":null,"previous_names":["yashksaini-coder/binary-classification-churn-prediction"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yashksaini-coder%2FBinary-Classification-Churn-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yashksaini-coder%2FBinary-Classification-Churn-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yashksaini-coder%2FBinary-Classification-Churn-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yashksaini-coder%2FBinary-Classification-Churn-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yashksaini-coder","download_url":"https://codeload.github.com/yashksaini-coder/Binary-Classification-Churn-Prediction/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248424339,"owners_count":21101158,"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":["classification","data-science","ensemble-learning","machine-learning","machine-learning-algorithms","supervised-learning"],"created_at":"2025-02-20T04:33:01.993Z","updated_at":"2025-04-11T14:50:50.390Z","avatar_url":"https://github.com/yashksaini-coder.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Binary Classification with a Bank Churn Dataset\n\u003e A collaborative project utilizing ensemble models for Binary classification with Bank churn . 🚀💎\n---\n## Table of Contents\n- [Description](#description)\n- [Models](#models)\n- [Installation](#installation)\n- [Usage](#usage)\n- [Contributing](#contributing)\n- [License](#license)\n\n---\n\n## Description\nThis project focuses on  Binary classification of Bank customers churn using a combination of various machine learning models. \nMachine Learning Models included are:-\n\n1. DecisionTreeClassifier \n2. QuadraticDiscriminantAnalysis\n3. KNeighborsClassifier\n4. LogisticRegression\n5. RidgeClassifier\n6. Perceptron\n7. SGDClassifier\n8. AdaBoostClassifier\n9. RandomForestClassifier\n10. HistGradientBoostingClassifier\n11. GradientBoostingClassifier\n12. ExtraTreesClassifier\n13. GaussianNB\n14. lgb (LightGBM)\n15. xgb (XGBoost)\n16. CatBoostClassifier\n17. MLPClassifier (Multi-layer Perceptron)\n\n\nEnsemble Techniques:-\n- **VotingClassifier:-** Used for combining multiple machine learning models.\n\n---\n\n## Installation\n\n```bash\n# Clone the repository\ngit clone https://github.com/yashksaini-coder/Binary-Classification-with-a-Bank-Churn-Dataset\n\n# Navigate to the project directory\ncd Binary-Classification-with-a-Bank-Churn-Dataset\n\n# Install dependencies\npip install -r requirements.txt\n```\n# Usage\nTo run the prediction models, follow these steps:\n\n- Open the Jupyter Notebook or Python script.\n- Run the cells or execute the script.\n- Input the relevant features for prediction.\n- Obtain the predicted Mohs hardness.\n\n\n# Contributing\n- [Fork the project](https://github.com/yashksaini-coder/Binary-Classification-with-a-Bank-Churn-Dataset/fork)\n- Create your feature branch (git checkout -b feature/AmazingFeature)\n- Commit your changes (git commit -am 'Add some AmazingFeature')\n- Push to the branch (git push origin feature/AmazingFeature)\nOpen a pull request\n\n# Contact\n[Medium](https://medium.com/@yashksaini) [LinkedIn](https://www.linkedin.com/in/yashksaini/) \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyashksaini-coder%2Fbinary-classification-churn-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyashksaini-coder%2Fbinary-classification-churn-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyashksaini-coder%2Fbinary-classification-churn-prediction/lists"}