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Insyt is a Streamlit-based application for performing classification and regression tasks on your datasets.

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Sanmuga/Insyt-Your-Intelligent-Data-Analysis-Tool

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Insyt: Your Intelligent Data Analysis Tool

Insyt is a Streamlit-based application for performing classification and regression tasks on your datasets.

Prerequisites

  • Python 3.6 or later
  • Install dependencies using pip install -r requirements.txt

Getting Started

  1. Clone this repository.

    git clone https://github.com/Sanmuga/insyt.git
  2. Change into the project directory.

    cd insyt
  3. Install dependencies.

    pip install -r requirements.txt
  4. Run the application.

    streamlit run insyt.py
  5. Access the app in your browser: http://localhost:8501

Usage

  1. Upload your CSV file using the file uploader.
  2. Explore and select columns for analysis.
  3. Choose between classification and regression tasks.
  4. Visualize results using the provided charts.

Contributing

Feel free to contribute by opening issues, suggesting enhancements, or submitting pull requests.

License

This project is licensed under the MIT License.

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Insyt is a Streamlit-based application for performing classification and regression tasks on your datasets.

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