{"id":24605953,"url":"https://github.com/udacity-machinelearning-internship/support-vector-machine","last_synced_at":"2026-04-13T16:01:41.901Z","repository":{"id":240996798,"uuid":"804028877","full_name":"Udacity-MachineLearning-Internship/Support-Vector-Machine","owner":"Udacity-MachineLearning-Internship","description":"Implementing SVM's using pandas and sklearn in python","archived":false,"fork":false,"pushed_at":"2024-05-22T10:41:47.000Z","size":7,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-18T10:46:08.814Z","etag":null,"topics":["numpy","pandas","sklearn","support-vector-machines","svm"],"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/Udacity-MachineLearning-Internship.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":"2024-05-21T20:21:08.000Z","updated_at":"2024-12-17T20:42:16.000Z","dependencies_parsed_at":"2025-01-21T08:34:38.695Z","dependency_job_id":null,"html_url":"https://github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine","commit_stats":null,"previous_names":["barasedih11/support-vector-machine","udacity-machinelearning-internship/support-vector-machine"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Udacity-MachineLearning-Internship/Support-Vector-Machine","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2FSupport-Vector-Machine","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2FSupport-Vector-Machine/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2FSupport-Vector-Machine/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2FSupport-Vector-Machine/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Udacity-MachineLearning-Internship","download_url":"https://codeload.github.com/Udacity-MachineLearning-Internship/Support-Vector-Machine/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Udacity-MachineLearning-Internship%2FSupport-Vector-Machine/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31759540,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-13T15:25:13.801Z","status":"ssl_error","status_checked_at":"2026-04-13T15:25:09.162Z","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":["numpy","pandas","sklearn","support-vector-machines","svm"],"created_at":"2025-01-24T16:49:58.635Z","updated_at":"2026-04-13T16:01:41.883Z","avatar_url":"https://github.com/Udacity-MachineLearning-Internship.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"\u003cdiv style=\"display:flex; justify-content: center; align-items: center ; height\" 100vh\" align=center\u003e\n\n![Support_Vector_Machine](https://github.com/BaraSedih11/Support-Vector-Machine/assets/98843912/2499f646-0994-43b4-a62d-a852adaeaf3d)\n\n   ![GitHub repo size](https://img.shields.io/github/repo-size/BaraSedih11/Support-Vector-Machine) ![GitHub repo file count (file type)](https://img.shields.io/github/directory-file-count/BaraSedih11/Support-Vector-Machine) [![Python Version](https://img.shields.io/badge/python-3.8-blue)](https://www.python.org/downloads/release/python-380/)\n[![Pip Version](https://img.shields.io/badge/pip-21.0-orange)](https://pypi.org/project/pip/21.0/)\n ![GitHub last commit (branch)](https://img.shields.io/github/last-commit/BaraSedih11/Support-Vector-Machine/main)\n[![Version](https://img.shields.io/badge/version-v1.0.0-blue)](https://github.com/BaraSedih11/Support-Vector-Machine/releases/tag/v1.0.0)\n[![Contributors](https://img.shields.io/github/contributors/BaraSedih11/Support-Vector-Machine)](https://github.com/BaraSedih11/Support-Vector-Machine/graphs/contributors)\n![GitHub pull requests](https://img.shields.io/github/issues-pr-raw/BaraSedih11/Support-Vector-Machine)\n\u003c!-- ![GitHub issues](https://img.shields.io/github/issues-raw/BaraSedih11/Bookstore)  --\u003e\n\u003c/div\u003e\nThis repository contains an Implementation of SVM's using pandas and sklearn in python.\n\n## Overview\n\nSupport Vector Machines (SVM) is a powerful algorithm for classification which also finds the best boundary. We explored topics related to Maximum Margin Classifier, Classification with Inseparable Classes, and Kernel Methods.\n\n## Contents\n\n- `SVM.ipynb`: Jupyter Notebook containing the implementation of SVM's using Python.\n- `data.csv`: Sample dataset used in the notebook for demonstration purposes.\n- `README.md`: This file providing an overview of the repository.\n\n## Requirements\n\nTo run the code in the Jupyter Notebook, you need to have Python installed on your system along with the following libraries:\n\n- NumPy\n- pandas\n- scikit-learn\n\nYou can install these libraries using pip:\n\n```bash\npip install numpy pandas scikit-learn\n```\n\n\n## Usage\n\n1. Clone this repository to your local machine:\n\n```bash\ngit clone https://github.com/BaraSedih11/Support-Vector-Machine.git\n```\n\n2. Navigate to the repository directory:\n\n```bash\ncd SVM\n```\n\n3. Open and run the Jupyter Notebook `SVM.ipynb` using Jupyter Notebook or JupyterLab.\n\n4. Follow along with the code and comments in the notebook to understand how SVM's is implemented using Python.\n\n## Acknowledgements\n\n- [scikit-learn](https://scikit-learn.org/): The scikit-learn library for machine learning in Python.\n- [NumPy](https://numpy.org/): The NumPy library for numerical computing in Python.\n- [pandas](https://pandas.pydata.org/): The pandas library for data manipulation and analysis in Python.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fsupport-vector-machine","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fudacity-machinelearning-internship%2Fsupport-vector-machine","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudacity-machinelearning-internship%2Fsupport-vector-machine/lists"}