{"id":22688180,"url":"https://github.com/emanuelefavero/machine-learning","last_synced_at":"2026-04-13T20:31:30.465Z","repository":{"id":248602280,"uuid":"829158532","full_name":"emanuelefavero/machine-learning","owner":"emanuelefavero","description":"This repository contains code for various machine learning concepts and algorithms","archived":false,"fork":false,"pushed_at":"2024-07-19T22:41:37.000Z","size":130,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-29T16:12:46.460Z","etag":null,"topics":["algorithms","machine-learning","numpy","pandas","python"],"latest_commit_sha":null,"homepage":"","language":"Python","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/emanuelefavero.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":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-07-15T22:01:18.000Z","updated_at":"2024-07-19T22:41:40.000Z","dependencies_parsed_at":"2025-02-04T16:44:40.998Z","dependency_job_id":"d3a50339-001a-449d-bdb5-6a0e6a2ace04","html_url":"https://github.com/emanuelefavero/machine-learning","commit_stats":null,"previous_names":["emanuelefavero/machine-learning"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/emanuelefavero/machine-learning","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emanuelefavero%2Fmachine-learning","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emanuelefavero%2Fmachine-learning/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emanuelefavero%2Fmachine-learning/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emanuelefavero%2Fmachine-learning/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/emanuelefavero","download_url":"https://codeload.github.com/emanuelefavero/machine-learning/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/emanuelefavero%2Fmachine-learning/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31770718,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T20:17:16.280Z","status":"ssl_error","status_checked_at":"2026-04-13T20:17:08.216Z","response_time":93,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["algorithms","machine-learning","numpy","pandas","python"],"created_at":"2024-12-10T00:13:22.774Z","updated_at":"2026-04-13T20:31:30.429Z","avatar_url":"https://github.com/emanuelefavero.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning\n\nThis repository contains code for various machine learning concepts and algorithms. The code is written in Python and uses libraries such as NumPy, Pandas and Scikit-learn.\n\n\u003cimg src=\"screenshot.webp\" alt=\"screenshot\" width=\"150\"\u003e\n\n## Installation\n\n\u003e Note: Make sure you have Python 3.6 or higher installed on your system before proceeding with the installation\n\n- Clone the repository\n- Create a virtual environment using `python -m venv venv`\n- Activate the virtual environment using `source venv/bin/activate`\n- Upgrade pip using `pip install --upgrade pip`\n- Install the required libraries using `pip install -r requirements.txt`\n\n\u003e Note: If you add any new library with `python -m pip install {library}`, please update the requirements.txt file by deleting it and then running `pip freeze \u003e requirements.txt`\n\n## Usage\n\n- Run any python file from the root directory using `python {folder}/{file}`\n- Example: `python basics/statistics-basics.py`\n\n\u003e Tip: You can also use `nodemon` to automatically restart the output whenever you make changes to the file. Install nodemon using `npm install -g nodemon` and run the python file using `nodemon --exec python {folder}/{file}`\n\n## Table of Contents\n\n### Basics\n\n- [Statistics Basics](basics/statistics-basics.py)\n\n### Numpy\n\n- [Array Create](numpy/array-create.py)\n- [Array Iterate](numpy/array-iterate.py)\n- [Array Reshape](numpy/array-reshape.py)\n- [Array Slicing](numpy/array-slicing.py)\n- [Array](numpy/array.py)\n- [Basics](numpy/basics.py)\n- [Copy vs View](numpy/copy-vs-view.py)\n- [Data Types](numpy/data-types.py)\n\n### Pandas\n\n- [Manipulate Data](pandas/manipulate-data.py)\n- [Read Data](pandas/read-data.py)\n\n## License\n\n- [MIT](LICENSE.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanuelefavero%2Fmachine-learning","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femanuelefavero%2Fmachine-learning","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanuelefavero%2Fmachine-learning/lists"}