{"id":26301931,"url":"https://github.com/abu14/loan-eligibility-prediction","last_synced_at":"2026-05-17T08:31:37.197Z","repository":{"id":273221195,"uuid":"918999734","full_name":"abu14/Loan-Eligibility-Prediction","owner":"abu14","description":"The idea for this project and analysis is to predict whether a person is likely to receive a loan based on personal, financial, and other relevant factors","archived":false,"fork":false,"pushed_at":"2025-01-19T14:44:14.000Z","size":619,"stargazers_count":0,"open_issues_count":1,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T02:02:29.650Z","etag":null,"topics":["database","machine-learning","sklearn-library","sklearn-metrics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/abu14.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2025-01-19T13:03:16.000Z","updated_at":"2025-01-19T14:44:16.000Z","dependencies_parsed_at":"2025-01-19T15:33:37.756Z","dependency_job_id":"e1656c03-0db6-422b-9a24-7c2b8b4f443b","html_url":"https://github.com/abu14/Loan-Eligibility-Prediction","commit_stats":null,"previous_names":["abu14/loan-eligibility-prediction"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/abu14/Loan-Eligibility-Prediction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abu14%2FLoan-Eligibility-Prediction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abu14%2FLoan-Eligibility-Prediction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abu14%2FLoan-Eligibility-Prediction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abu14%2FLoan-Eligibility-Prediction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/abu14","download_url":"https://codeload.github.com/abu14/Loan-Eligibility-Prediction/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/abu14%2FLoan-Eligibility-Prediction/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":33131876,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-17T06:27:06.342Z","status":"ssl_error","status_checked_at":"2026-05-17T06:26:59.432Z","response_time":107,"last_error":"SSL_read: 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":["database","machine-learning","sklearn-library","sklearn-metrics"],"created_at":"2025-03-15T07:17:32.855Z","updated_at":"2026-05-17T08:31:37.144Z","avatar_url":"https://github.com/abu14.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Hi, I'm Abenezer Tesfaye! 👋\n\n## 🚀 About Me\nI'm a Machine Learning Engineer / Data Analyst\n\nCurrently working as a Data Analytics Developer.\n\n## 🚀 Loan Eligibility Prediction Project\n\nWelcome to my loan eligibility prediction project! Here, I take you on a journey from raw data to an intelligent solution that predicts whether a customer qualifies for a home loan. Using a logistic regression model, this project makes the process of loan approvals faster, smarter, and more reliable.\n\n## 📖 Overview\n\nDream Housing Finance Company operates across urban, semi-urban, and rural areas, offering home loans to customers. When someone applies for a loan, their eligibility is determined based on details like income, credit history, education, and more. This project automates that decision-making process by identifying customers who are most likely to be eligible—helping the company save time and target the right audience.\n\n## 🤔 Why It Matters\n\nThis project doesn’t just crunch numbers; it empowers businesses to make informed decisions faster, improving both customer experience and operational efficiency.\n\n## 🌟 Key Features\n\nHandles data preprocessing, including encoding, scaling, and missing value treatment.\nProvides real-time predictions for customer loan eligibility.\nSimple, interpretable, and scalable for real-world applications.\n\n\n## Demo \n\n![Image](https://github.com/user-attachments/assets/6a3884ff-b408-4a30-bfda-00ba6ece4df1)\n\n\n## Tools Used\n\n- **Python:** allows me to analyze the data and find insights and patterns. Made use of the following Python libraries:\n    - **Pandas Library** \n    - **Sklearn** \n    - **Numpy**  \n- **SQL Lite** to load and save our data   \n- **Visual Studio Code:** Executing my Python scripts.\n- **Git \u0026 GitHub:** For version control and sharing my Python code and analysis.\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabu14%2Floan-eligibility-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabu14%2Floan-eligibility-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabu14%2Floan-eligibility-prediction/lists"}