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https://github.com/murugavl/flower-prediction
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
https://github.com/murugavl/flower-prediction
flask machine-learning matplotlib numpy pandas python scikit-learn seaborn
Last synced: 6 days ago
JSON representation
Flower Prediction is a machine learning project that uses the Iris dataset to classify iris flowers into three species: Setosa, Versicolor, and Virginica. The project includes data analysis, model training with various algorithms, and deployment via a Flask web application for user-friendly predictions.
- Host: GitHub
- URL: https://github.com/murugavl/flower-prediction
- Owner: Murugavl
- License: mit
- Created: 2025-01-13T08:56:13.000Z (18 days ago)
- Default Branch: main
- Last Pushed: 2025-01-13T10:10:12.000Z (18 days ago)
- Last Synced: 2025-01-25T09:12:48.800Z (6 days ago)
- Topics: flask, machine-learning, matplotlib, numpy, pandas, python, scikit-learn, seaborn
- Language: Python
- Homepage:
- Size: 101 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: Readme.md
- License: LICENSE