{"id":16393090,"url":"https://github.com/rumaan/machine-learning-lab-vtu","last_synced_at":"2025-07-03T07:08:30.776Z","repository":{"id":121698019,"uuid":"156097472","full_name":"rumaan/machine-learning-lab-vtu","owner":"rumaan","description":"Repository with programs for the Machine Learning Lab VTU - (15CSL76) 📚","archived":false,"fork":false,"pushed_at":"2019-10-25T05:33:25.000Z","size":329,"stargazers_count":16,"open_issues_count":0,"forks_count":19,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-04T12:51:22.006Z","etag":null,"topics":["jupyter","lab","machine-learning","machine-learning-lab","python3","sklearn","vtu"],"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/rumaan.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-11-04T15:42:06.000Z","updated_at":"2024-07-28T09:27:02.000Z","dependencies_parsed_at":"2023-03-22T16:46:49.524Z","dependency_job_id":null,"html_url":"https://github.com/rumaan/machine-learning-lab-vtu","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/rumaan/machine-learning-lab-vtu","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaan%2Fmachine-learning-lab-vtu","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaan%2Fmachine-learning-lab-vtu/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaan%2Fmachine-learning-lab-vtu/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaan%2Fmachine-learning-lab-vtu/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rumaan","download_url":"https://codeload.github.com/rumaan/machine-learning-lab-vtu/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rumaan%2Fmachine-learning-lab-vtu/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263279304,"owners_count":23441683,"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":["jupyter","lab","machine-learning","machine-learning-lab","python3","sklearn","vtu"],"created_at":"2024-10-11T04:52:21.023Z","updated_at":"2025-07-03T07:08:30.758Z","avatar_url":"https://github.com/rumaan.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning Lab VTU\nRepo with programs for the Machine Learning Lab (15CSL76). All the programs are in `.ipnyb` Jupyter notebook format.\n\n## Instructions\n- If you open this repo on your phone, make sure to switch to a Desktop Version of the site to see the notebooks in your browser\n- Firstly, Make sure you have [Git](https://git-scm.com) set up and running in your system.\n- Download this repo or clone by typing \u003cbr\u003e\n  `git clone https://github.com/rumaan/machine-learning-lab-vtu.git`\n- `cd machine-learning-lab-vtu` or move into that directory and run `jupyter notebook` which will open up a Jupyter Notbook instance in your browser.\n- Select the notebook/program and start executing! 👨‍💻👩‍💻\n\n\n## Dependencies and Modules used\n- [Python](https://www.python.org)\n- [Jupyter](http://jupyter.org)\n- [Numpy](http://www.numpy.org)\n- [Pandas](https://pandas.pydata.org)\n- [Sklearn](http://scikit-learn.org/stable/)\n- [Matplotlib](https://www.matplotlib.org)\n- [SciPy](https://www.scipy.org)\n- [Bayespy](http://www.bayespy.org)\n- [pgmpy](https://github.com/pgmpy/pgmpy)\n\nYou can install these dependencies by doing `pip install dependecy_name` and also make sure to replace `pip` with `pip3` if you are using Python3 or above.\n\u003cbr\u003e\n\n---\n\n#### Be Advised, I am not the owner of the code posted here. This repo consists of programs/code combined/modified from various sources like Lab Manuals, Youtube etc. 😇\n\n## Other Info\n- [/py/trimmed/](https://github.com/rumaan/machine-learning-lab-vtu/tree/master/py/trimmed) directory contains all the programs in `.py` format\n- \u003cb\u003eMake sure to change the `datasets` path in those `.py` files as required!\u003c/b\u003e\n- Check out the `convert_to_py.sh` script to know more about converting the `.ipnyb` files into `.py`\n```sh\nchmod 755 convert_to_py.sh\nbash convert_to_py.sh\n```\n\n## Contributing to the Repo (if its your first time)\nYou can look [here](https://gitme.js.org) for some inspiration on how to submit a Pull Request (PR)\n\u003cbr\u003e\n\n__*Basic Steps are*__ :\n- Fork the repo\n- Download/Clone the forked repo into your local machine\n- Modify/Add Contents\n- Push to your repo\n- Submit PR from your fork\n#### And you are good to go! 🎉\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frumaan%2Fmachine-learning-lab-vtu","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frumaan%2Fmachine-learning-lab-vtu","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frumaan%2Fmachine-learning-lab-vtu/lists"}