R Brain Dump

My initial thoughts on the R portion of this assignment are that it should be pretty straightforward. I'll import the Film collection from Mongo into R. Turn it into a data.frame (all cleaning of na values would've been handled by the Python portion). I'll then try backward fitting a model.

To test it, I will do a couple random splits to create test and training data then comparing. I will also try to take a real film that is upcoming and predict the revenue then wait and see.

Once I get a model working, I will train it on all of the data and then create a function to predict. At this point, I will have to find a way to have Python call this function and return a result, but I will cross this bridge when I make the Python interface.

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