{"id":25748452,"url":"https://github.com/jaymax01/predicting-customer-purchases","last_synced_at":"2026-05-02T05:33:08.147Z","repository":{"id":194519820,"uuid":"691006039","full_name":"jaymax01/predicting-customer-purchases","owner":"jaymax01","description":"classification of online purchasing rates ","archived":false,"fork":false,"pushed_at":"2023-09-13T10:30:12.000Z","size":2346,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-16T02:05:12.716Z","etag":null,"topics":["classification-algorithims","colab-notebook","data-visualization","decision-tree-classifier","google-cloud","logistic-regression","machine-learning","python","svm-classifier","unbalanced-data"],"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/jaymax01.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}},"created_at":"2023-09-13T10:12:07.000Z","updated_at":"2023-09-18T11:18:45.000Z","dependencies_parsed_at":null,"dependency_job_id":"396ec04f-bc1d-4f51-ae21-26c4c6891cd1","html_url":"https://github.com/jaymax01/predicting-customer-purchases","commit_stats":null,"previous_names":["jaymax01/predicting-customer-purchases"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jaymax01/predicting-customer-purchases","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fpredicting-customer-purchases","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fpredicting-customer-purchases/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fpredicting-customer-purchases/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fpredicting-customer-purchases/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jaymax01","download_url":"https://codeload.github.com/jaymax01/predicting-customer-purchases/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jaymax01%2Fpredicting-customer-purchases/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260083860,"owners_count":22956407,"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-algorithims","colab-notebook","data-visualization","decision-tree-classifier","google-cloud","logistic-regression","machine-learning","python","svm-classifier","unbalanced-data"],"created_at":"2025-02-26T12:28:43.583Z","updated_at":"2026-05-02T05:33:08.107Z","avatar_url":"https://github.com/jaymax01.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n## Predicting Purchasing Rates\n\n*True green supplies sells several merchandise on its online store with its customers making purchases or just browsing the site to peharps make future purchases. The aim of the project is to develop a reliable model to predict if a given customer would make a purchase or not as well as conduct analysis to understand the businesses' customers. This would help the business with optimizing its advertising campaigns and identify its immerging markets and customers*\n\n\n\n## Project outline\n\nData exploration and analysis\n\nFeature selection\n\nData preparation and formating\n\nModel training and validation\n\nModel prediction\n\n\n## Data sources\n\n[Training data](https://drive.google.com/file/d/1LqO1PtN-NU8ImwLVlEWD4hgJBiePu5Tl/view)\n\n[Testing data](https://drive.google.com/file/d/17BdSbCPl5p96GWeoU52s7BjmWayLWfy8/view)\n## Installation\n\nThe python libraries used for the project \n\n```\nnumpy\npandas\nseaborn\nmatplotlib\nscikit-learn\n```\n    \n## Credits\n![](https://github.com/jaymax01/predicting-customer-purchases/blob/main/screenshot-nimbusweb.me-2023.09.13-13_07_07.png?raw=true)","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fpredicting-customer-purchases","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjaymax01%2Fpredicting-customer-purchases","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjaymax01%2Fpredicting-customer-purchases/lists"}