Stroke Data Analysis

Role: Team Manager

Language / Platform: Jupyter Notebook, Python

Too many people in our society are at risk for having a stroke but have no way of knowing that...

Visit the GitHub repository here.

Are you at risk?

Stroke Data Analysis implements multiple classifiers to mine a large data source and provide a prediction for if an individual is at risk for a stroke based on their specific lifestyle characteristics.

Check if you are at risk here...

Stroke-Data-Analysis App *(Currently under repair)

All algorithms are written from scratch and are built to handle large data sets. Can be re-used on any large dataset.

The dataset we used can be found here: Stroke-Data

Our git repository can be found here: Stroke-Analysis-Git

Classifiers Implemented

All built based off of algorithms from Ski-Kit Learn

Simple Linear Regressor

Ski-Kit Learn Linear Regression

K Nearest Neighbors Classifier

Ski-Kit Learn Knn Classifier

Naïve Bayes

Ski-Kit Learn Naive Bayes

Decision Tree Classifier

Ski-Kit Learn Decision Tree Classifier

Random Forest Classifier

Ski-Kit Learn Random Forest Classifier