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