{"id":23043075,"url":"https://github.com/noorulhudaajmal/customer-segmentation-analysis","last_synced_at":"2025-10-07T14:27:00.935Z","repository":{"id":260687708,"uuid":"882067462","full_name":"noorulhudaajmal/Customer-Segmentation-Analysis","owner":"noorulhudaajmal","description":"Customer segmentation and analysis of purchasing behaviour","archived":false,"fork":false,"pushed_at":"2024-11-01T20:14:01.000Z","size":1218,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-03T01:23:13.003Z","etag":null,"topics":["cluster-analysis","customer-segmentation","data-analysis"],"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/noorulhudaajmal.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":"2024-11-01T20:10:21.000Z","updated_at":"2024-12-22T04:02:42.000Z","dependencies_parsed_at":"2024-11-01T21:19:26.681Z","dependency_job_id":"120dec07-7178-4781-aa54-4799638413fd","html_url":"https://github.com/noorulhudaajmal/Customer-Segmentation-Analysis","commit_stats":null,"previous_names":["noorulhudaajmal/customer-segmentation-analysis"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/noorulhudaajmal/Customer-Segmentation-Analysis","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noorulhudaajmal%2FCustomer-Segmentation-Analysis","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noorulhudaajmal%2FCustomer-Segmentation-Analysis/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noorulhudaajmal%2FCustomer-Segmentation-Analysis/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noorulhudaajmal%2FCustomer-Segmentation-Analysis/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/noorulhudaajmal","download_url":"https://codeload.github.com/noorulhudaajmal/Customer-Segmentation-Analysis/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/noorulhudaajmal%2FCustomer-Segmentation-Analysis/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":278788673,"owners_count":26046026,"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","status":"online","status_checked_at":"2025-10-07T02:00:06.786Z","response_time":59,"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":["cluster-analysis","customer-segmentation","data-analysis"],"created_at":"2024-12-15T20:40:08.346Z","updated_at":"2025-10-07T14:27:00.886Z","avatar_url":"https://github.com/noorulhudaajmal.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Customer-Segmentation-Analysis\n\nThis project provides an end-to-end analysis and segmentation of customer purchasing behavior using the Online Retail II dataset from the UCI Machine Learning Repository. The data, which includes details on sales transactions from a UK-based online retail store, has been processed and clustered to identify customer groups based on\n- Spending habits\n- Purchase frequency\n- Recency of transactions\n\nKey insights and actionable strategies are derived for each customer segment to enhance business decision-making. \nThe dataset used is sourced from [Online Retail II](https://archive.ics.uci.edu/dataset/502/online+retail+ii).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoorulhudaajmal%2Fcustomer-segmentation-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnoorulhudaajmal%2Fcustomer-segmentation-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnoorulhudaajmal%2Fcustomer-segmentation-analysis/lists"}