{"id":19135099,"url":"https://github.com/dexpota/udacity-machine-learning-introduction","last_synced_at":"2025-06-20T15:08:26.617Z","repository":{"id":119495310,"uuid":"201615746","full_name":"dexpota/udacity-machine-learning-introduction","owner":"dexpota","description":"Personal notes on Machine Learning Introduction course by Udacity","archived":false,"fork":false,"pushed_at":"2019-11-22T07:21:42.000Z","size":11266,"stargazers_count":2,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-06T19:35:31.734Z","etag":null,"topics":[],"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","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dexpota.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.CODE","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":"2019-08-10T10:35:51.000Z","updated_at":"2022-10-23T01:15:17.000Z","dependencies_parsed_at":null,"dependency_job_id":"c2eaa48e-57d7-430f-9fcd-52fb40b4d7ae","html_url":"https://github.com/dexpota/udacity-machine-learning-introduction","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dexpota/udacity-machine-learning-introduction","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dexpota%2Fudacity-machine-learning-introduction","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dexpota%2Fudacity-machine-learning-introduction/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dexpota%2Fudacity-machine-learning-introduction/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dexpota%2Fudacity-machine-learning-introduction/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dexpota","download_url":"https://codeload.github.com/dexpota/udacity-machine-learning-introduction/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dexpota%2Fudacity-machine-learning-introduction/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":260967377,"owners_count":23090100,"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":[],"created_at":"2024-11-09T06:29:11.202Z","updated_at":"2025-06-20T15:08:21.587Z","avatar_url":"https://github.com/dexpota.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[ https://github.com/JamshedVesuna/vim-markdown-preview#requireme\nntsminiconda-installation]: https://docs.conda.io/en/latest/miniconda.html\n\n[license-cc]: http://creativecommons.org/licenses/by-nc-sa/4.0/\n[license-cc-badge]: https://img.shields.io/badge/License-CC%20BY--NC--SA-green.svg?style=for-the-badge\n\n[license-mit]: https://opensource.org/licenses/MIT\n[license-mit-badge]:  https://img.shields.io/github/license/dexpota/kitty-themes.svg?style=for-the-badge\n\n# Machine Learning Introduction\n\n\u003e These notes are based on the Udacity course.\n\n[![Notes licesing badge][license-cc-badge]][license-cc]\n[![Code licesing badge][license-mit-badge]][license-mit]\n\n## Prerequisites\n\n### Miniconda Installation on Ubuntu\n\n1. Download the installation script from the official website:\n  ```bash\n  wget -q https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n  ```\n2. Execute the installation script and follow the procedure:\n  ```bash\n  chmod +x Miniconda3-latest-Linux-x86_64.sh\n  ./Miniconda3-latest-Linux-x86_64.sh\n  ```\n3. Recreate the conda environment:\n  ```bash\n  conda env create --name udacity-ml --file environments.yml\n  ```\n\nYou can find more information on how to install miniconda on your system\n[here](miniconda-installation).\n\n## TODO\n\n- Use `rundoc` to test python snippets inside markdown text;\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdexpota%2Fudacity-machine-learning-introduction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdexpota%2Fudacity-machine-learning-introduction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdexpota%2Fudacity-machine-learning-introduction/lists"}