❤
Liver Disease Prediction Project This repository consists of files required to deploy a Machine Learning Web App created with Flask and deployed using Heroku platform.
If you want to view the deployed model, click on the following link:
• https://liver-disease-pred.herokuapp.com/
Demo
Problem Statement
This data set contains 416 liver patient records and 167 non liver patient records collected from North East of Andhra Pradesh, India. The "Dataset" column is a class label used to divide groups into liver patient (liver disease) or not (no disease). This data set contains 441 male patient records and 142 female patient records.
Use these patient records to determine which patients have liver disease and which ones do not.
Dataset
Technology used
- Python
- Machine Learning
- Pandas
- Numpy
- Scikit-learn
- Flask
- HTML
- CSS
- Pycharm
- Heroku
Running Tests
To run app, run the following command
python app.run
Screenshot
Deployment
To deploy this project run following command in the project folder
git bash open
Create .git file
git init
Track all the files
git add .
Cheacking file track or not
git status
Store as separate version
git commit -m 'message'
Deployment on Heroku
Heroku login on git bash
heroku login
Create new app
heroku create
Push Code
git remote -v
Push code to Master Branch
git push heroku master
Related
Here are some related projects
Feedback
If you have any feedback, please reach out to me at LinkedIn
Please do
Thank you