group chat classificiation part 6: multi layer perceptrons

welcome to part 6 in my classification blog series! in part 1, we loaded a decade’s worth of group chat messages into python, in part 2 we learned how to quantify model accuracy and tested that knowledge with a basic model, in part 3 we dug into our data to extract the features we’ll need for our models, in part 4 we built a linear model and compared that to the naive model from part 2, and in part 5 we did an overview of basic neural networks and implemented one to mimic our linear model.

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