With the increase in number of cases of diabetic patients this Machine Learning Implementation will help a person knowing whether he/she is diabetic or not. This is Machine Learning Implemented in the form of a Web App where it uses deep learning to predict whether a person is diabetic or not In order to use the Web App you need to clone the model save file, and the Web_Deploy.py file and use the line streamlit -run "PATH TO DEPLOY_FILE/Web_deploy.py" . The Web Deploy file itself uses several python libraries like :
- Streamlit
- Pickle
- Numpy
- Pickle
The model was trained using deeplearning which used several more python libraries like :
- Numpy
- Pandas
- Sklearn
- Tensorflow
- Keras
- Seaborn
Make sure these libraries are pre-installed in the system before you try to run it. The diabetes.csv dataset was downloded from kaggle.