{"id":15353267,"url":"https://github.com/lostintangent/intro-to-ml","last_synced_at":"2025-04-15T05:53:24.095Z","repository":{"id":38022358,"uuid":"491199427","full_name":"lostintangent/intro-to-ml","owner":"lostintangent","description":"🎓 Simple to use notebooks, based on the scikit-Learn and matplotlib tutorials","archived":false,"fork":false,"pushed_at":"2022-08-16T16:46:41.000Z","size":173,"stargazers_count":6,"open_issues_count":0,"forks_count":9,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-15T05:53:19.462Z","etag":null,"topics":["machine-learning","scikit-learn","tutorial"],"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/lostintangent.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}},"created_at":"2022-05-11T16:55:33.000Z","updated_at":"2023-07-25T14:57:16.000Z","dependencies_parsed_at":"2022-09-16T22:12:48.129Z","dependency_job_id":null,"html_url":"https://github.com/lostintangent/intro-to-ml","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/lostintangent%2Fintro-to-ml","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lostintangent%2Fintro-to-ml/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lostintangent%2Fintro-to-ml/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lostintangent%2Fintro-to-ml/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lostintangent","download_url":"https://codeload.github.com/lostintangent/intro-to-ml/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249016319,"owners_count":21198832,"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","scikit-learn","tutorial"],"created_at":"2024-10-01T12:13:36.565Z","updated_at":"2025-04-15T05:53:24.073Z","avatar_url":"https://github.com/lostintangent.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 🎓 Intro to Machine Learning\n\nThis repo includes some simple-to-use notebooks, based on the [scikit-Learn tutorials](https://scikit-learn.org/stable/tutorial/basic/tutorial.html#an-introduction-to-machine-learning-with-scikit-learn) and [matplotlib tutorials](https://matplotlib.org/stable/tutorials/introductory/pyplot.html). These are meant purely for illustration purposes, in order to show off notebooks in Codespaces. Otherwise, the aforementioned tutorials are the authoritative sources of this content.\n\n[![Open in Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new?repo=lostintangent/intro-to-ml)\n\n## Getting Started\n\n1. Open this repo in a Codespace (click the button above!)\n2. Open one of the notebooks\n3. Click the `Select kernel` button in the upper-right and select `Python 3.10.4 64-bit`\n4. Have fun! 🚀\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flostintangent%2Fintro-to-ml","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flostintangent%2Fintro-to-ml","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flostintangent%2Fintro-to-ml/lists"}