{"id":19412801,"url":"https://github.com/techshot25/baltimore-911-calls","last_synced_at":"2026-06-16T15:31:55.642Z","repository":{"id":213791549,"uuid":"164274808","full_name":"techshot25/Baltimore-911-Calls","owner":"techshot25","description":"Analysis of 911 calls provided by the city of Baltimore.","archived":false,"fork":false,"pushed_at":"2019-01-07T04:00:45.000Z","size":83,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-25T02:44:03.978Z","etag":null,"topics":["data-analysis","data-science","decision-tree-classifier","logistic-regression","machine-learning","machine-learning-algorithms","statistics"],"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/techshot25.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}},"created_at":"2019-01-06T04:23:31.000Z","updated_at":"2019-01-07T04:18:13.000Z","dependencies_parsed_at":"2023-12-23T05:35:15.300Z","dependency_job_id":null,"html_url":"https://github.com/techshot25/Baltimore-911-Calls","commit_stats":null,"previous_names":["techshot25/baltimore-911-calls"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/techshot25/Baltimore-911-Calls","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/techshot25%2FBaltimore-911-Calls","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/techshot25%2FBaltimore-911-Calls/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/techshot25%2FBaltimore-911-Calls/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/techshot25%2FBaltimore-911-Calls/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/techshot25","download_url":"https://codeload.github.com/techshot25/Baltimore-911-Calls/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/techshot25%2FBaltimore-911-Calls/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34412786,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-16T02:00:06.860Z","response_time":126,"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":["data-analysis","data-science","decision-tree-classifier","logistic-regression","machine-learning","machine-learning-algorithms","statistics"],"created_at":"2024-11-10T12:28:16.000Z","updated_at":"2026-06-16T15:31:55.624Z","avatar_url":"https://github.com/techshot25.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Baltimore 911 calls\nThis code looks at the dataset `911_calls_for_service.csv` which contains over 22.4 million 911 calls made in the city of Baltimore. I will clean up the dataset to focus on the relationship between **call time**, **priority**, and **district**. I intend to train a classifier to accurately predict the **priority** of a given call based on the **call time** and **district**.\n\nThis dataset records the time, location, priority, and reason for calls to 911 in the city of Baltimore.\n\nThe file `911_calls_for_service_SAMPLE.csv` only displays the first 1000 rows. The original dataset is over 200 MB and can be downloaded from the links in the acknowledgements below.\n\n## Acknowledgements\nThanks for Kaggle for making this set available. Visit [kaggle.com](https://www.kaggle.com/) if you need publicly available datasets for data analysis practice.\n\nThis particular dataset was retrieved from [here](https://www.kaggle.com/sohier/baltimore-911-calls/home) on January 6, 2019.\n\nThis dataset was kindly made available by the City of Baltimore. They update the data daily; you can find the original version [here](https://data.baltimorecity.gov/Public-Safety/911-Police-Calls-for-Service/xviu-ezkt).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechshot25%2Fbaltimore-911-calls","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftechshot25%2Fbaltimore-911-calls","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftechshot25%2Fbaltimore-911-calls/lists"}