Jupyter Notebook/Pandas and Matplotlib will be used to clean the data and perform an exploratory analysis. Using to Further analysis will be completed using NumPy Python.
PostgreSQL is the database we intend to use, and we will integrate Tableau to display the data.
Python's scikit-learn will be employed to create a supervised machine learning binary classification model using the stroke patient data csv file. The goal is to create a model that is able to determine whether or not a patient is at a high risk of having a stroke based on various characteristics of the patient.
The dashboard will be hosted on Tableau Public software, for a fully functioning and interactive dashboard.