https://github.com/sharmas1ddharth/disease_prediction

Predict underlying disease by providing symptoms using Machine Learning Algorithms
https://github.com/sharmas1ddharth/disease_prediction

data-science data-science-projects datascience flask machine-learning machinelearning python

Last synced: 8 months ago
JSON representation

Predict underlying disease by providing symptoms using Machine Learning Algorithms

• Host: GitHub
• URL: https://github.com/sharmas1ddharth/disease_prediction
• Owner: sharmas1ddharth
• License: mit
• Created: 2021-08-29T14:03:21.000Z (about 4 years ago)
• Default Branch: main
• Last Pushed: 2022-01-05T11:48:29.000Z (almost 4 years ago)
• Last Synced: 2025-01-11T12:48:03.926Z (10 months ago)
• Topics: data-science, data-science-projects, datascience, flask, machine-learning, machinelearning, python
• Language: Jupyter Notebook
• Homepage:
• Size: 2.2 MB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

          
Disease Prediction

==============================

Predict underlying disease by providing symptoms.

Project Organization

------------

    ├── LICENSE

    ├── README.md               <- The top-level README for developers using this project.

    ├── data                    <- Data from third party sources

    │

    ├── models                  <- Trained and serialized models, model predictions, or model summaries

    │

    ├── notebooks               <- Jupyter notebooks. Naming convention is a number (for ordering),

    │                               the creator's initials, and a short `-` delimited description, e.g.

    │                               `1.0-jqp-initial-data-exploration`.

    │

    ├── requirements.txt        <- The requirements file for reproducing the analysis environment, e.g.

    │                               generated with `pip freeze > requirements.txt`

    │

    ├── model_and_symptoms.py   <- This file contains trained model, symptoms list and diseases name.

    ├── app.py                  <- Main file of flask deployment

    ├── static                  <- Folder containing 'css stylesheets' and other static files.

    ├── templates               <- Folder contrains 'HTML Templates'.

--------