{"id":20292851,"url":"https://github.com/a-mhamdi/mlpy","last_synced_at":"2025-04-11T11:24:17.108Z","repository":{"id":163253220,"uuid":"537615866","full_name":"a-mhamdi/mlpy","owner":"a-mhamdi","description":"Machine Learning with Python","archived":false,"fork":false,"pushed_at":"2025-04-06T22:51:26.000Z","size":58619,"stargazers_count":11,"open_issues_count":6,"forks_count":3,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-04-06T23:27:15.205Z","etag":null,"topics":["docker-image","jupyter-notebook","keras-tensorflow","machine-learning","marimo-notebook","python3","sklearn"],"latest_commit_sha":null,"homepage":"https://a-mhamdi.github.io/mlpy/","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/a-mhamdi.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2022-09-16T20:51:10.000Z","updated_at":"2025-04-06T22:51:29.000Z","dependencies_parsed_at":"2023-09-28T15:00:21.414Z","dependency_job_id":"97fddc6e-5fa8-4091-a76d-a88eb93af54d","html_url":"https://github.com/a-mhamdi/mlpy","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/a-mhamdi%2Fmlpy","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fmlpy/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fmlpy/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/a-mhamdi%2Fmlpy/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/a-mhamdi","download_url":"https://codeload.github.com/a-mhamdi/mlpy/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248382615,"owners_count":21094561,"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-image","jupyter-notebook","keras-tensorflow","machine-learning","marimo-notebook","python3","sklearn"],"created_at":"2024-11-14T15:19:40.970Z","updated_at":"2025-04-11T11:24:17.097Z","avatar_url":"https://github.com/a-mhamdi.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning with Python\n\n[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://github.com/codespaces/new?hide_repo_select=true\u0026ref=main\u0026skip_quickstart=true\u0026machine=standardLinux32gb\u0026repo=537615866\u0026devcontainer_path=.devcontainer%2Fdevcontainer.json\u0026geo=EuropeWest)\n\n[![MLPY-CI](https://github.com/a-mhamdi/mlpy/actions/workflows/mlpy.yml/badge.svg)](https://github.com/a-mhamdi/mlpy/actions/workflows/mlpy.yml)\n[![Docker Version](https://img.shields.io/docker/v/abmhamdi/mlpy?sort=semver)](https://hub.docker.com/r/abmhamdi/mlpy)\n\nThis repository contains slides, labs, and code samples for using `Python` to implement some **machine learning** related algorithms. \n\n## Included Algorithms\nThe repository includes the implementation of the following algorithms:\n\u003e1. Linear Regression\n\u003e1. Logistic Regression\n\u003e1. k-NN\n\u003e1. K-MEANS\n\u003e1. ANN\n\n## Prerequisites\n\nCodes run on top of a `Docker` image, ensuring a consistent and reproducible environment. \n\n\u003e [!IMPORTANT]\n\u003e\n\u003e You will need to have `Docker` installed on your machine. You can download it from the [Docker website](https://hub.docker.com).\n\n\u003e [!NOTE]\n\u003e To run the code, you will need to first pull the `Docker` image by running the following command:\n\u003e \n\u003e ```zsh\n\u003e docker pull abmhamdi/mlpy\n\u003e ```\n\u003e \n\u003e This may take a while, as it will download and install all necessary dependencies.\n\n## How to control the containers:\n\n* ```docker-compose up -d``` starts the container in detached mode\n* ```docker-compose down``` stops and destroys the container\n\nServices can be run by typing the command `docker-compose up`. This will start the `Jupyter Lab` on [http://localhost:2468](http://localhost:2468), and you should be able to use `Python` from within the notebook by starting a new `Python` notebook. You can parallelly start `Marimo` on [http://localhost:1357](http://localhost:1357).\n\n## License\nThis project is licensed under the MIT License - see the [LICENSE](https://raw.githubusercontent.com/a-mhamdi/mlpy/refs/heads/main/LICENSE) file for details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa-mhamdi%2Fmlpy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fa-mhamdi%2Fmlpy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fa-mhamdi%2Fmlpy/lists"}