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This is a course project for M.S Data Science, where we classify whether or not the patient has liver disease based on Age, Gender, Total Bilirubin, etc.

Home Page: https://unh-projects-liver-disease-detection-main-gxwkjh.streamlit.app/

License: Other

Jupyter Notebook 99.45% Python 0.55%
classification diagnosis liver-disease

liver-disease-detection's Introduction

Group - 1 Final Project

This is the repository for Group - 1 (The Phoenix) Final Project Submission.

Our topic for the project is "Liver Disease Classification".

The group members are:

The application has been deployed using Streamlit:

Liver Disease Prediction Application

Image

Image2

How to run

  1. Activate the conda environment.

    conda activate

  2. Create a virtual environment using the command..

    python -m venv virtualenv

  3. Activate the virtual environment using the command:

    venv\Scripts\activate

  4. Install the libraries from the requirements.txt file.

    pip install -r requirements.txt

  5. Run the notebook using the command jupyter notebook

  6. To run the streamlit app on localhost, use the command

    streamlit run main.py

    It should run the application on the default port 8501: https://localhost:8501.

liver-disease-detection's People

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bhargavipedineedi avatar merishnasuwal avatar

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