{"id":21488890,"url":"https://github.com/d-kleine/mlops","last_synced_at":"2025-03-17T10:43:51.201Z","repository":{"id":65014617,"uuid":"580767407","full_name":"d-kleine/MLOps","owner":"d-kleine","description":"Udacity - Machine Learning DevOps Engineer Nanodegree","archived":false,"fork":false,"pushed_at":"2023-07-16T17:29:12.000Z","size":22000,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-23T20:17:25.464Z","etag":null,"topics":["cicd","deployment","mlops"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/d-kleine.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":"CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-12-21T11:54:42.000Z","updated_at":"2023-09-06T19:40:27.000Z","dependencies_parsed_at":"2024-11-23T14:22:48.671Z","dependency_job_id":null,"html_url":"https://github.com/d-kleine/MLOps","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/d-kleine%2FMLOps","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/d-kleine%2FMLOps/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/d-kleine%2FMLOps/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/d-kleine%2FMLOps/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/d-kleine","download_url":"https://codeload.github.com/d-kleine/MLOps/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244020145,"owners_count":20384882,"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":["cicd","deployment","mlops"],"created_at":"2024-11-23T14:12:35.691Z","updated_at":"2025-03-17T10:43:51.176Z","avatar_url":"https://github.com/d-kleine.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Udacity Machine Learning DevOps Engineer Nanodegree\n\nBuild DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring.\n\n## Projects\n\n### Predict Customer Churn with Clean Code\n\nDeploying machine learning models in production:\n-\tPyLint and AutoPEP8\n-\tGit and GitHub\n-\tTesting with pytest and logging with logging\n\n[Project](https://github.com/d-kleine/Udacity_MLOps/tree/main/project1_clean_code)\n\n\n\n### Build an ML Pipeline for Short-term Rental Prices in NYC\n\nEfficiency, effectiveness, and productivity in modern, real-world ML projects:\n-\tClean, organized, reproducible end-to-end ML pipeline with MLflow\n-\tTrack experiments, code, and results with GitHub and Weights \u0026 Biases\n-\tSelecting and deploying the best performing model using MLflow\n\n[Project](https://github.com/d-kleine/Udacity_MLOps/tree/main/project2_reproducible-ml-workflow)\n\n\n\n### Deploying a Machine Learning Model on Heroku with FastAPI\n\nDeploying a machine learning model in Production:\n-\tModeling performance, checking for bias using data cross-sections (called \"slices\"), and writing a model map\n-\tVersion control of data and models with Data Version Control (DVC) \n-\tContinuous Integration with GitHub Actions and Continuous Delivery/Deployment\n-\tFast, type-checked and autodocumented writing of a user interface (API) with FastAPI\n\n[Project](https://github.com/d-kleine/Udacity_MLOps/tree/main/project3_deployment-ml-pipeline)\n\n\n### A Dynamic Risk Assessment System\n\nFull automation of MLOps processes:\n-\tModel training and deployment\n-\tEstablish regular assessment processes: Re-training and re-deployment of models at model drift.\n-\tDiagnose operational issues with models, including data integrity and stability issues, timing issues, and dependency issues \n-\tSetup of automated reports for APIs\n\n[Project](https://github.com/d-kleine/Udacity_MLOps/tree/main/project4_model-scoring-monitoring)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fd-kleine%2Fmlops","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fd-kleine%2Fmlops","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fd-kleine%2Fmlops/lists"}