{"id":23112406,"url":"https://github.com/lixx21/mlops_zoomcamp","last_synced_at":"2025-04-03T23:45:43.244Z","repository":{"id":167893002,"uuid":"643519584","full_name":"lixx21/mlops_zoomcamp","owner":"lixx21","description":"All notes and project of MLOPS ZoomCamp 2023","archived":false,"fork":false,"pushed_at":"2023-07-09T15:50:46.000Z","size":24996,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-02-09T11:41:44.140Z","etag":null,"topics":["machine-learning","ml-engineer","mlops","mlops-zoomcamp"],"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/lixx21.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":"2023-05-21T12:30:50.000Z","updated_at":"2024-06-02T06:22:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"e58e2b4f-86cc-442d-8a64-3cf746817bd1","html_url":"https://github.com/lixx21/mlops_zoomcamp","commit_stats":null,"previous_names":["lixx21/mlops_zoomcamp"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lixx21%2Fmlops_zoomcamp","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lixx21%2Fmlops_zoomcamp/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lixx21%2Fmlops_zoomcamp/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lixx21%2Fmlops_zoomcamp/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lixx21","download_url":"https://codeload.github.com/lixx21/mlops_zoomcamp/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247097975,"owners_count":20883127,"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":["machine-learning","ml-engineer","mlops","mlops-zoomcamp"],"created_at":"2024-12-17T02:17:52.035Z","updated_at":"2025-04-03T23:45:43.235Z","avatar_url":"https://github.com/lixx21.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# MLOps Zoomcamp from datatalks\n\nAll Homework Data: [NYC TRIP DATA](https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page)\n\n## [01-Intro](/01-Intro/)\n\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;In this module I learned about what is MLOps and the maturity of MLOps. Not just that in this module I also learned about how to setup the environment for our machine (linux).\n\n## [02-Experiment-Tracking](/02-Experiment-Tracking/)\n\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;In this module I learned about how to track our experiment as a data scientist and machine learning engineer. Sometimes as a data scientist we do many of experiments before we get the best model, and we need to tracking those environments, therefore we use ```mlflow``` or ```weight and biases``` to help us tracking our environment an analyzed our experiment (accuracy, RMSE, parameters and so on)\n\n## [03-Orchestation](/03-Orchestration/)\n\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;In this module, I learned about how to use **Prefect** a orchestration tool for MLOps, where we can see our model's peformance every day or schedule our run deployment. To deploy this Prefect we need to push our script to Github. ```data``` ```.prefectignore``` ```deployment.yaml``` ```mlflow.db``` ```prefect.yaml``` and ```mlruns/``` are the dapendencies for prefect deployment using Github, because when we want to deploy Prefect using data, prefect will see the directory from root directory of github. That is why I put all dependencies in main root directory of my github. You can see more of Prefect on [Prefect - Docs](https://docs.prefect.io/2.10.15/)\n\n## [04-Deployment](/04-deployment/)\n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;In this module, I learned about how to deploy model with several deployment types like, batch and online (streaming and web server)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flixx21%2Fmlops_zoomcamp","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flixx21%2Fmlops_zoomcamp","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flixx21%2Fmlops_zoomcamp/lists"}