This is a website for stroke prediction using Machine Learning Algorithm.
- Python
- Pandas
- Numpy
- Matplotlib
- Scikit-Learn
- Imbalanced-Learn
Dataset can be downloaded from the Kaggle stroke dataset
STROKE_PREDICTION.ipynb : Here you will find all code needed to run stroke predictions. In the .ipynb notebook are the model and the exploratory analysis on my dataset used to make decisions on my model.
index.html and output.html: These are the html files needed to run the app.
app.py: This folder is the flask code used to connect the front end with the back end and display a prediction based on the model.
- Check the requirements
- Clone the repository
- Open the project directory
- Open and run app.py file
- A web page will open in the browser, in which you can fill the details and submit
- The result of prediction is shown on the next page based on input.