{"id":21670537,"url":"https://github.com/sultanazhari/credit-scoring","last_synced_at":"2026-04-20T09:34:52.555Z","repository":{"id":246450981,"uuid":"821170325","full_name":"sultanazhari/Credit-Scoring","owner":"sultanazhari","description":"A bank Company Wants to Analize their customer borrower defaults. as a Analyst we're giving the report of category and classification that have a big probability as a customer borrower default.","archived":false,"fork":false,"pushed_at":"2024-06-28T01:25:08.000Z","size":608,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-10-24T18:05:17.989Z","etag":null,"topics":["lending-bank","numpy","pandas","phyton3","probability","reporting"],"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/sultanazhari.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":"2024-06-28T00:58:33.000Z","updated_at":"2024-07-04T10:49:29.000Z","dependencies_parsed_at":"2024-06-28T23:31:29.520Z","dependency_job_id":null,"html_url":"https://github.com/sultanazhari/Credit-Scoring","commit_stats":null,"previous_names":["sultanazhari/credit-scoring"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/sultanazhari/Credit-Scoring","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sultanazhari%2FCredit-Scoring","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sultanazhari%2FCredit-Scoring/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sultanazhari%2FCredit-Scoring/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sultanazhari%2FCredit-Scoring/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sultanazhari","download_url":"https://codeload.github.com/sultanazhari/Credit-Scoring/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sultanazhari%2FCredit-Scoring/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32041649,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-20T00:18:06.643Z","status":"online","status_checked_at":"2026-04-20T02:00:06.527Z","response_time":94,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["lending-bank","numpy","pandas","phyton3","probability","reporting"],"created_at":"2024-11-25T12:33:02.484Z","updated_at":"2026-04-20T09:34:52.523Z","avatar_url":"https://github.com/sultanazhari.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Credit-Scoring\n\n# Deskripsi proyek\nTugas saya adalah menyiapkan laporan untuk divisi kredit suatu bank. saya akan mencari tahu pengaruh status perkawinan seorang nasabah dan jumlah anak yang dimilikinya terhadap probabilitas gagal bayar dalam melunasi pinjaman. Pihak bank sudah memiliki beberapa data mengenai kelayakan kredit nasabah.\u003cbr\u003e\u003cbr\u003e\n\nLaporan ini akan menjadi bahan pertimbangan pada saat membuat penilaian kredit untuk calon nasabah. Penilaian kredit digunakan untuk mengevaluasi kemampuan calon peminjam untuk melunasi pinjaman mereka.\n\n\n# Deskripsi data\nchildren : jumlah anak dalam keluarga \u003cbr\u003e\ndays_employed: berapa lama nasabah telah bekerja\u003cbr\u003e\ndob_years: usia nasabah\u003cbr\u003e\neducation: tingkat pendidikan nasabah\u003cbr\u003e\neducation_id: pengidentifikasi untuk tingkat pendidikan nasabah\u003cbr\u003e\nfamily_status: status perkawinan nasabah\u003cbr\u003e\nfamily_status_id: pengidentifikasi untuk status perkawinan nasabah\u003cbr\u003e\ngender: jenis kelamin nasabah\u003cbr\u003e\nincome_type: jenis pendapatan nasabah\u003cbr\u003e\ndebt: apakah nasabah pernah melakukan gagal bayar pinjaman\u003cbr\u003e\ntotal_income: pendapatan bulanan\u003cbr\u003e\npurpose: alasan mengambil pinjaman\u003cbr\u003e\nBagaimana proses penilaian proyek dilakukan?\u003cbr\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsultanazhari%2Fcredit-scoring","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsultanazhari%2Fcredit-scoring","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsultanazhari%2Fcredit-scoring/lists"}