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### GitHub Repository Description This project explores the Iris dataset to analyze and classify iris flowers based on their features. Using machine learning algorithms like decision trees, k-nearest neighbors, and support vector machines, the project aims to accurately predict iris species and demonstrate fundamental data science techniques.

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alekha1234/Iris_dataset

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IRIS Flower Classification

The IRIS data science project focuses on the analysis and classification of IRIS flowers based on their distinct features. This project utilizes the renowned IRIS dataset, a classic dataset in the field of machine learning, to predict the species of IRIS flowers accurately.

📔 Table of Contents

🌟 About the Project

📷 Screenshots

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👾 Tech Stack

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🎨 Color Reference

Color Hex
Primary Color #e1c617 #e1c617
Secondary Color #393E46 #393E46
Accent Color #00ADB5 #00ADB5
Text Color #EEEEEE #EEEEEE

⚠️ License

Distributed under the no License. See LICENSE.txt for more information.

🤝 Contact

Gujuri Alekha - - gujurialekha@gmail.com

Project Link: https://github.com/alekha1234/Iris_dataset

About

### GitHub Repository Description This project explores the Iris dataset to analyze and classify iris flowers based on their features. Using machine learning algorithms like decision trees, k-nearest neighbors, and support vector machines, the project aims to accurately predict iris species and demonstrate fundamental data science techniques.

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