Graphs and ML: Linear Regression – Towards Data Science

To kick off a series of Neo4j extensions for machine learning, I implemented a set of user-defined procedures that create a linear regression model in the graph database. In this post, I demonstrate use of linear regression from the Neo4j browser to suggest prices for short term rentals in Austin, Texas. Let's check out the use case: The most popular area in Austin, Texas is identified by the last two digits of its zip code: "04". With the trendiest clubs, restaurants, shops, and parks, "04" is a frequent destination for tourists. Suppose you're an Austin local who's going on vacation.