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Twitoff Project Building a full-stack application, backed by Data Science

Fitting a predictive model based on Tweet embeddings, and allow the client to use the model to make predictions of which user is more likely to tweet given text.

  • Web Application Development with Flask
  • Create a simple Python web application that exposes an API to URL endpoints
  • Connect to the NotTwitter API and query for tweets by various parameters
  • Implement a SpaCy NLP model to create embeddings from our tweet text.
  • Adding Data Science to a Web Application
  • Run and report simple online analysis of data from the user or an API
  • Run a more complicated offline model, and serialize the results for online use
  • Deploy a basic (single-server) web application to common cloud services
  • Securely connect a deployed web application to a relational database back-end