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<title>EasyML - No-Code Machine Learning Platform</title>

EasyML - No-Code Machine Learning Platform

Welcome to EasyML, a platform designed to make machine learning accessible to everyone, regardless of coding experience. With EasyML, users can train and deploy machine learning models through an intuitive, no-code interface.

<h2>📌 Key Features</h2>
<ul>
    <li><strong>No-Code Interface:</strong> Create, train, and evaluate machine learning models without any coding knowledge.</li>
    <li><strong>Customizable Training Options:</strong> Allows parameter tuning for fine control over model training.</li>
    <li><strong>Model Selection Assistance:</strong> Automatic recommendations for the best model based on your dataset and goals.</li>
    <li><strong>Data Import & Preprocessing:</strong> Easily upload datasets and apply preprocessing steps through the UI.</li>
    <li><strong>Real-Time Results:</strong> View metrics and model performance in real time as training progresses.</li>
</ul>

<h2>🌟 Why EasyML?</h2>
<p>EasyML is built to bridge the gap between machine learning and non-technical users. The platform allows small businesses, educators, and data enthusiasts to harness the power of AI without needing extensive programming skills. Whether you’re looking to make predictions, analyze patterns, or explore data, EasyML simplifies every step of the process.</p>

<h2>📂 Repository Structure</h2>
<pre>
├── frontend/          # UI code for the no-code interface
├── backend/           # API and model training logic
├── models/            # Pre-trained and user-trained models
├── docs/              # Documentation for using EasyML
└── README.md          # Project overview
</pre>

<h2>🚀 Getting Started</h2>
<p>Follow the setup instructions in the <a href="docs/setup-guide.md">Setup Guide</a> to start using EasyML. The guide includes steps to set up the frontend and backend, configure dependencies, and deploy locally.</p>

<h2>🔧 How It Works</h2>
<p>Once set up, you can start a project, upload your data, choose or tune a model, and let EasyML handle the training process. The platform provides real-time feedback and stores trained models, ready for deployment or further analysis.</p>

<h2>📜 License</h2>
<p>This project is licensed under the MIT License - see the <a href="LICENSE">LICENSE</a> file for details.</p>

<h2>📫 Contact</h2>
<p>For questions or feedback, reach out to the development team at <strong>[email protected]</strong>.</p>

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