{"id":20138666,"url":"https://github.com/developerwilliams/customer-churn-prediction","last_synced_at":"2026-02-07T17:32:20.812Z","repository":{"id":260138329,"uuid":"880426700","full_name":"DeveloperWilliams/Customer-Churn-Prediction","owner":"DeveloperWilliams","description":"This code trains a basic Random Forest model for churn prediction.","archived":false,"fork":false,"pushed_at":"2024-10-29T18:10:54.000Z","size":4,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-09-21T06:33:41.741Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/DeveloperWilliams.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":"2024-10-29T17:48:23.000Z","updated_at":"2025-04-03T07:09:23.000Z","dependencies_parsed_at":"2024-10-29T20:21:02.273Z","dependency_job_id":null,"html_url":"https://github.com/DeveloperWilliams/Customer-Churn-Prediction","commit_stats":null,"previous_names":["developerwilliams/customer-churn-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DeveloperWilliams/Customer-Churn-Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FCustomer-Churn-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FCustomer-Churn-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FCustomer-Churn-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FCustomer-Churn-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DeveloperWilliams","download_url":"https://codeload.github.com/DeveloperWilliams/Customer-Churn-Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DeveloperWilliams%2FCustomer-Churn-Prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":29201128,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-02-07T16:28:23.579Z","status":"ssl_error","status_checked_at":"2026-02-07T16:28:22.566Z","response_time":63,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2024-11-13T21:40:11.435Z","updated_at":"2026-02-07T17:32:20.793Z","avatar_url":"https://github.com/DeveloperWilliams.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Customer Churn Prediction\n\n## Overview\nThis project builds a machine learning model to predict customer churn based on historical data. It includes data preprocessing, model training, and performance evaluation.\n\n## Features\n- **Data Preprocessing**: Encodes categorical data and scales features.\n- **Modeling**: Trains a Random Forest and Logistic Regression model.\n- **Evaluation**: Evaluates models using accuracy, precision, recall, and AUC.\n\n## Installation\n1. Install dependencies: `pip install -r requirements.txt`\n2. Run `python train.py --data customer_data.csv --output model.pkl` \n\n## Technologies Used\n- `scikit-learn` for machine learning\n- `pandas` and `numpy` for data handling\n- `matplotlib` for visualization\n ","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveloperwilliams%2Fcustomer-churn-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeveloperwilliams%2Fcustomer-churn-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeveloperwilliams%2Fcustomer-churn-prediction/lists"}