Pandas will be used to clean the data and perform an exploratory analysis. Further analysis will be completed using Python.
Postgres and pgAdmin will be used for the database. Database storage will be on S3, integrated with AWS RDS database. We will integrate Flask to display the data.
SciKitLearn is the ML library we'll be using to create a classifier. Our training and testing setup is ___. Extra ML verbiage here.
In addition to using a Flask template, we will also integrate D3.js for a fully functioning and interactive dashboard. It will be hosted on GitHub.