https://github.com/albertniyo/iris-classification
This repository contains an Iris classification model built using machine learning algorithms. It uses the famous Iris dataset to train and evaluate models for predicting the species of Iris flowers based on various features. The project demonstrates data preprocessing, model selection, and performance evaluation.
https://github.com/albertniyo/iris-classification
machine-learning streamlit
Last synced: about 1 month ago
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This repository contains an Iris classification model built using machine learning algorithms. It uses the famous Iris dataset to train and evaluate models for predicting the species of Iris flowers based on various features. The project demonstrates data preprocessing, model selection, and performance evaluation.
- Host: GitHub
- URL: https://github.com/albertniyo/iris-classification
- Owner: albertniyo
- License: mit
- Created: 2024-11-29T11:21:26.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-14T10:21:05.000Z (over 1 year ago)
- Last Synced: 2026-02-14T00:28:54.315Z (4 months ago)
- Topics: machine-learning, streamlit
- Language: Jupyter Notebook
- Homepage: https://iris-speciesclassification.streamlit.app/
- Size: 26.1 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE