{"id":20528194,"url":"https://github.com/elmezianech/email-spam-ham-classifier-nb-simple","last_synced_at":"2026-04-07T16:31:12.459Z","repository":{"id":207060551,"uuid":"718335756","full_name":"elmezianech/Email-Spam-Ham-Classifier-NB-simple","owner":"elmezianech","description":"Count Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.","archived":false,"fork":false,"pushed_at":"2023-11-13T21:48:40.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-06T01:52:30.641Z","etag":null,"topics":["countvectorizer","emails","jupyter-notebook","machine-learning","ml","naive-bayes","naive-bayes-classifier","numpy","pandas","python","spam-detection","spam-filtering"],"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/elmezianech.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":"2023-11-13T21:47:46.000Z","updated_at":"2023-11-13T21:50:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"978e18f9-6162-460d-b9e5-dbee4d4fcab0","html_url":"https://github.com/elmezianech/Email-Spam-Ham-Classifier-NB-simple","commit_stats":null,"previous_names":["elmezianech/email-spam-ham-classifier-nb-simple"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/elmezianech/Email-Spam-Ham-Classifier-NB-simple","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elmezianech%2FEmail-Spam-Ham-Classifier-NB-simple","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elmezianech%2FEmail-Spam-Ham-Classifier-NB-simple/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elmezianech%2FEmail-Spam-Ham-Classifier-NB-simple/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elmezianech%2FEmail-Spam-Ham-Classifier-NB-simple/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/elmezianech","download_url":"https://codeload.github.com/elmezianech/Email-Spam-Ham-Classifier-NB-simple/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/elmezianech%2FEmail-Spam-Ham-Classifier-NB-simple/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31520398,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 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":["countvectorizer","emails","jupyter-notebook","machine-learning","ml","naive-bayes","naive-bayes-classifier","numpy","pandas","python","spam-detection","spam-filtering"],"created_at":"2024-11-15T23:23:55.659Z","updated_at":"2026-04-07T16:31:12.435Z","avatar_url":"https://github.com/elmezianech.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Email-Spam-Ham-Classifier-NB-simple\nCount Vectorizer Naive Bayes Email Classifier: This Python project utilizes a simple Naive Bayes approach with Count Vectorizer to classify emails as spam or ham. The implementation focuses on word frequency for classification.\n\nThis project used the \"Email Dataset for Spam Detection\" sourced from Kaggle. The dataset contains a collection of emails labeled as spam and ham for training and testing the classifier.\n\nLink: https://www.kaggle.com/datasets/bhaskarreddy072/mail-datacsv\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felmezianech%2Femail-spam-ham-classifier-nb-simple","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Felmezianech%2Femail-spam-ham-classifier-nb-simple","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Felmezianech%2Femail-spam-ham-classifier-nb-simple/lists"}