{"id":20042169,"url":"https://github.com/shogunbanik18/spam-detector","last_synced_at":"2026-04-20T14:31:40.722Z","repository":{"id":152455968,"uuid":"469706146","full_name":"shogunbanik18/spam-detector","owner":"shogunbanik18","description":"Spam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).","archived":false,"fork":false,"pushed_at":"2022-03-14T12:05:56.000Z","size":776,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-11-29T10:59:21.253Z","etag":null,"topics":["data-science","knearest-neighbor-algorithm","machine-learning","naive-bayes-classifier","random-forest-classifier","supervised-machine-learning"],"latest_commit_sha":null,"homepage":"https://detectospam.herokuapp.com/","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/shogunbanik18.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":"2022-03-14T11:36:52.000Z","updated_at":"2022-03-14T12:06:06.000Z","dependencies_parsed_at":null,"dependency_job_id":"f46abc6f-ef0d-4388-bcc5-19e51c886447","html_url":"https://github.com/shogunbanik18/spam-detector","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/shogunbanik18/spam-detector","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shogunbanik18%2Fspam-detector","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shogunbanik18%2Fspam-detector/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shogunbanik18%2Fspam-detector/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shogunbanik18%2Fspam-detector/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shogunbanik18","download_url":"https://codeload.github.com/shogunbanik18/spam-detector/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shogunbanik18%2Fspam-detector/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32050883,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-20T11:35:06.609Z","status":"ssl_error","status_checked_at":"2026-04-20T11:34:48.899Z","response_time":94,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 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":["data-science","knearest-neighbor-algorithm","machine-learning","naive-bayes-classifier","random-forest-classifier","supervised-machine-learning"],"created_at":"2024-11-13T10:49:06.280Z","updated_at":"2026-04-20T14:31:40.702Z","avatar_url":"https://github.com/shogunbanik18.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cp align=\"center\"\u003e\u003cimg width=\"450\" height=\"300\" src=\"https://user-images.githubusercontent.com/75260179/157315162-74031115-99d2-45a0-b93e-a3161a64d877.jpg\" width=\"300\" height=\"300\"\u003e \u003c/p\u003e\n\n## Spam-Detector\nSpam Detector is an online Email/SMS Spam Classifier based binary classification model to detect whether a text message is spam or not (i.e Ham).\nIn this project, I have used many algorithms to create a model that can classify SMS messages as spam or not spam. Being able to identify spam messages is a binary classification problem as messages are classified as either 'Spam' or 'Not Spam'. Also, this is a supervised learning problem, as we will be feeding a labelled dataset into the model, that it can learn from, to make future predictions.\n\n## Project Preview : \n![2](https://user-images.githubusercontent.com/75260179/158168267-d033726b-03c4-4df8-80cb-376b155fa66a.png)\n![1](https://user-images.githubusercontent.com/75260179/158168273-dcf52476-2636-4a9b-b214-2f770431c4c2.png)\n\n## Overview\nThis project has been broken down in to the following steps:\nThis project has been broken down in to the following steps:\n1. Data cleaning\n2. EDA (Exploratory Data Analysis)\n3. Text Preprocessing\n4. Model building\n5. Evaluation\n6. Improvement\n\n## TechStack\n*  The code is implemented in Google Colaboratory with the help of Python 3.9\n*  Libraries used :  Numpy,Pandas, Matplotlib,Seaborn and Sklearn.\n*  For Deploying : Streamlit , Herokuapp\n\n## Project Link : \n* https://detectospam.herokuapp.com/\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshogunbanik18%2Fspam-detector","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshogunbanik18%2Fspam-detector","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshogunbanik18%2Fspam-detector/lists"}