{"id":18602097,"url":"https://github.com/build-on-aws/jupyter-notebook-ml-batch-amazon-eks","last_synced_at":"2025-05-06T15:49:01.879Z","repository":{"id":199321997,"uuid":"701535544","full_name":"build-on-aws/jupyter-notebook-ml-batch-amazon-eks","owner":"build-on-aws","description":"Container-ready Jupyter Notebook application based on a TensorFlow 2.12.0/Python 3.10 image, utilizing XGBoost model training for structured data","archived":false,"fork":false,"pushed_at":"2023-10-10T20:38:12.000Z","size":224,"stargazers_count":3,"open_issues_count":0,"forks_count":1,"subscribers_count":5,"default_branch":"main","last_synced_at":"2025-03-31T01:31:41.191Z","etag":null,"topics":["docker","jupyter-notebook","python","tensorflow","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit-0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/build-on-aws.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","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":"2023-10-06T21:18:17.000Z","updated_at":"2024-01-24T17:15:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"a41bfa73-94de-4e9b-8695-7436a8418c57","html_url":"https://github.com/build-on-aws/jupyter-notebook-ml-batch-amazon-eks","commit_stats":null,"previous_names":["build-on-aws/jupyter-notebook-ml-batch-amazon-eks"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/build-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/build-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/build-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/build-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/build-on-aws","download_url":"https://codeload.github.com/build-on-aws/jupyter-notebook-ml-batch-amazon-eks/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252715238,"owners_count":21792848,"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":["docker","jupyter-notebook","python","tensorflow","xgboost"],"created_at":"2024-11-07T02:10:18.307Z","updated_at":"2025-05-06T15:49:01.826Z","avatar_url":"https://github.com/build-on-aws.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Jupyter-XGBoost Predictor Application\n\nThis application offers a streamlined Jupyter Notebook environment that's optimized for containerization. Although based on a TensorFlow 2.12.0 image with Python 3.10 support, the notebook primarily employs XGBoost for model training. It provides a comprehensive data science pipeline, featuring data manipulation with pandas and machine learning via XGBoost. Fully containerized, this Jupyter-XGBoost notebook ensures effortless deployments using Docker.\n\n## About\n* 📦 This app is purpose-built for container deployment, ensuring a uniform operating environment and hassle-free deployments via Docker.\n* 🚀 This app is powered by a [Jupyter Notebook](https://jupyter.org/) environment, an open-source web application that lets you create and share documents that contain live code, equations, visualizations, and narrative text.\n* ✅ The base image of this app incorporates [TensorFlow](https://www.tensorflow.org/), offering the flexibility to extend its capabilities for deep learning. TensorFlow is a leading open-source platform, renowned for its versatile machine learning toolkit and wide usage in handling unstructured data.\n* 💾 This app utilizes [pandas](https://pandas.pydata.org/) for data manipulation. Pandas provides fast, flexible, and expressive data structures designed to work with structured data.\n* 🗃️ This app leverages [XGBoost](https://xgboost.readthedocs.io/en/stable/) for gradient boosting. XGBoost is an optimized distributed gradient boosting library designed to be efficient, flexible, and is the most used library for structured, tabular data.\n\n## Prerequisites\n- [Install Docker](https://docs.docker.com/get-docker/)\n- [Install Jupyter Notebook](https://jupyter.org/install#jupyter-notebook)\n\n## Installation\n1. Clone the repository:\n```bash\ngit clone git@github.com:build-on-aws/jupyter-notebook-ml-batch-amazon-eks.git\ncd jupyter-notebook-ml-batch-amazon-eks\n```\n\n## Quickstart\nFollow these steps to initiate the notebook environment via Docker.\n\n1. Build the Docker image in the root project directory.\n```bash\ndocker build -t batch-ml-image .\n```\n\n2. Run the Docker container.\n```bash\ndocker run --memory=4g --cpus=2 -p 8888:8888 batch-ml-image\n```\n\n3. Open the **Model-demo.ipynb** file to begin training the model.\n\n![Jupyter Notebook](jupyter-notebook.png)\n\n## Security\n\nSee [CONTRIBUTING](CONTRIBUTING.md#security-issue-notifications) for more information.\n\n## License\n\nThis library is licensed under the MIT-0 License. See the LICENSE file.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbuild-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbuild-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbuild-on-aws%2Fjupyter-notebook-ml-batch-amazon-eks/lists"}