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Chris Arcand

Platform engineer at Red Hat, ManageIQ core committer, maintainer of, and conference speaker. A Minnesotan who spends too much money on keyboards, ice hockey, and backpacking gear.

Minneapolis, MN

  1. Movie Projections using Relational Databases and Classification

    This Spring I worked with Brian Salter and Rich Jeffery to complete a semester long project using relational databases to predict upcoming movie outcomes. We wanted to do something with an exceedingly large amount of data, just for fun - and decided that movies were a good example of something with large amounts of data that would fit well in relations. We came up with a motivation for our research: Using existing data on past movies and available data on upcoming movies, can we accurately predict how well upcoming movies will do? More specifically, using metrics of past movies such... [READ MORE]