{"id":23189414,"url":"https://github.com/mrintern/machine-learning-pipeline","last_synced_at":"2025-04-05T06:12:41.655Z","repository":{"id":177895057,"uuid":"661061042","full_name":"mrintern/machine-learning-pipeline","owner":"mrintern","description":"A mini machine learning pipeline, from scratch.","archived":false,"fork":false,"pushed_at":"2023-09-10T18:12:03.000Z","size":331,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-10T13:43:50.875Z","etag":null,"topics":[],"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/mrintern.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":"2023-07-01T17:03:44.000Z","updated_at":"2023-07-03T16:43:58.000Z","dependencies_parsed_at":"2025-02-10T13:42:32.136Z","dependency_job_id":"faf19f4d-31cd-43c1-b1e0-ff59407c58a3","html_url":"https://github.com/mrintern/machine-learning-pipeline","commit_stats":null,"previous_names":["mrintern/machine-learning-pipeline"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrintern%2Fmachine-learning-pipeline","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrintern%2Fmachine-learning-pipeline/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrintern%2Fmachine-learning-pipeline/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mrintern%2Fmachine-learning-pipeline/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mrintern","download_url":"https://codeload.github.com/mrintern/machine-learning-pipeline/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247294550,"owners_count":20915340,"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":[],"created_at":"2024-12-18T11:19:13.461Z","updated_at":"2025-04-05T06:12:41.648Z","avatar_url":"https://github.com/mrintern.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## TODO: Run pipeline as an airflow DAG\n# machine-learning-pipeline\nI made this machine learning pipeline to show recruiters an example of my skills in data engineering and my style of writing and documenting code. \n\nThe pipeline does the following:\n1. Sends a request to the NewsAPI's /sources endpoint (https://newsapi.org/)\n2. Creates `sources.csv` from the API response\n3. Sends a request to the NewsAPI's /everything endpoint\n4. For every publisher in sources.csv grabs every article written in the past 3 days\n5. Applies a sentiment analysis model to the article titles\n6. Performs some data analysis\n7. Generates a sql statement that can be used to upload this data to BigQuery for further analysis\n\nNote: `pipeline.ipynb` is meant to be run in google colab.\n\nEnjoy!\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrintern%2Fmachine-learning-pipeline","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmrintern%2Fmachine-learning-pipeline","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmrintern%2Fmachine-learning-pipeline/lists"}