What's included

• Data Scrapping

  Find the data needed to train the model.

• Data Cleaning

  Clean the data by removing outliers and normalising the data for a format acceptable by the model.

• Data Wrangling

  Find interesting patterns or relationship within the data

• Modelling

  Building a machine learning model for the specific use case

• Hosting and API

  Build an APi that will interface with the model. Optionally host the project to the clients server

• Frontend

  Build a minimal webapp that will interact with the model