{"id":25909182,"url":"https://github.com/abhinav330/iris-dataset-classic-ml-problem","last_synced_at":"2026-06-06T04:31:22.824Z","repository":{"id":254765587,"uuid":"847475008","full_name":"Abhinav330/Iris-dataset-classic-ml-problem","owner":"Abhinav330","description":"This repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.","archived":false,"fork":false,"pushed_at":"2024-08-31T02:58:43.000Z","size":4236,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-03T08:16:35.045Z","etag":null,"topics":["classification","data-science","iris-dataset","jupyter","machine-learning","numpy","pandas","python","sklearn","support-vector-machines","svm-classifier"],"latest_commit_sha":null,"homepage":"","language":"Jupyter 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Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Codacy Badge](https://app.codacy.com/project/badge/Grade/a03fae58e5264da4a7a52ccc5f9cdc3a)](https://app.codacy.com/gh/Abhinav330/Irish-dataset-classic-ml-problem/dashboard?utm_source=gh\u0026utm_medium=referral\u0026utm_content=\u0026utm_campaign=Badge_grade)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/matplotlib?color=silver)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/numpy?color=beige)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/pandas?color=beige)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/scikit-learn?color=green)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/scipy?color=red)\n![GitHub Pipenv locked dependency version](https://img.shields.io/github/pipenv/locked/dependency-version/Abhinav330/Irish-dataset-classic-ml-problem/seaborn?color=beige)\n![GitHub Pipenv locked Python version](https://img.shields.io/github/pipenv/locked/python-version/Abhinav330/Irish-dataset-classic-ml-problem?color=dark%20green)\n![GitHub repo size](https://img.shields.io/github/repo-size/Abhinav330/Irish-dataset-classic-ml-problem)\n\n# Irish-dataset-classic-ml-problem\nThis repository demonstrates the classification of Iris flowers into three species (Setosa, Versicolor, Virginica) using a Support Vector Machine (SVM) classifier.\n\n\n1. **Data Preparation:** Loads the Iris dataset and performs necessary preprocessing.\n2. **Data Exploration:** Visualizes the data to understand relationships between features and species.\n3. **Model Training:** Trains an SVM classifier on the training data.\n4. **Model Evaluation:** Evaluates the model's performance using metrics like confusion matrix and classification report.\n5. **Hyperparameter Tuning:** Optimizes the SVM model using GridSearchCV to find the best hyperparameters.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhinav330%2Firis-dataset-classic-ml-problem","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabhinav330%2Firis-dataset-classic-ml-problem","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabhinav330%2Firis-dataset-classic-ml-problem/lists"}