{"id":20280613,"url":"https://github.com/coleramos425/nflintelligence","last_synced_at":"2026-05-12T04:35:46.353Z","repository":{"id":125585197,"uuid":"352815846","full_name":"coleramos425/nflIntelligence","owner":"coleramos425","description":"An analysis of NFL player intelligence and its relation to performance.","archived":false,"fork":false,"pushed_at":"2021-03-30T04:12:23.000Z","size":514,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-04T02:43:05.733Z","etag":null,"topics":["data-science","jupyter-notebook","nflstats","python","scraper","scrapy","webcrawler"],"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/coleramos425.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":"2021-03-29T23:53:00.000Z","updated_at":"2021-04-01T01:20:50.000Z","dependencies_parsed_at":null,"dependency_job_id":"7473f571-2cda-441d-9c6d-6b16a8156cff","html_url":"https://github.com/coleramos425/nflIntelligence","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/coleramos425/nflIntelligence","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coleramos425%2FnflIntelligence","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coleramos425%2FnflIntelligence/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coleramos425%2FnflIntelligence/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coleramos425%2FnflIntelligence/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/coleramos425","download_url":"https://codeload.github.com/coleramos425/nflIntelligence/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/coleramos425%2FnflIntelligence/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":27469818,"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":"2025-12-03T02:00:06.367Z","response_time":57,"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-science","jupyter-notebook","nflstats","python","scraper","scrapy","webcrawler"],"created_at":"2024-11-14T13:36:07.739Z","updated_at":"2025-12-03T05:11:51.841Z","avatar_url":"https://github.com/coleramos425.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# nflIntelligence\nAn analysis of NFL player intelligence and its relation to performance.\n\n## Overview\nThis is a study conducted I for my Economics of Sport class at Santa Clara University. Leveraging my Computer Science background and interest in data science I created a script that collects NFL player data, aggregates statistics, and then cross references player educational background.\n\nI used a number of tools from CSCI 182 (Data Science) and CSCI 183 (Web \u0026 Data Crawling) including:\n\n  - Pandas\n  - Jupiter Notebook\n  - Scrapy\n  - Scikit-Learn\n\n## My Study\n\n![introduction](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-1.png)\n\n### Methodology\n![methodology](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-2.png)\n\n### Structure\n![structure](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-3.png)\n\n### Example\n![example](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-4.png)\n\n### Results \n![results](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-5.png)\n\n### Conclusion\n![conclusion](https://github.com/coleramos425/nflIntelligence/blob/master/readmeAssets/asset-6.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoleramos425%2Fnflintelligence","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcoleramos425%2Fnflintelligence","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcoleramos425%2Fnflintelligence/lists"}