Load User Reviews and Books from DB into M.L. algorithm

User Story

  • As a: M.L. developer,
  • I want: to switch from the movie data to our book data
  • so that: I can actually use the M.L. algorithm to learn the patterns of liking books.

Functional Requirements

  • Read in all data required from the database (see the movie example)
  • Convert our data into proper format required by the machine learning algorithm
  • Run the learning algorithm and show that it works (test a user and show that there top recommendation is one that they liked)
  • Move the M.L. algorithm from the Jupyter notebook to a python file
  • Save the learned model to a file

Description

Required for the MVP

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