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Most of the current and standard approaches utilized for the endeavor of classifying proteins rely on recurrent neural networks being used on protein sequences; these networks then predict protein classification. However, this particular project was done with the intent of trying to see if we could use other easily attainable features to aid with prediction. The results suggest that there is plentiful room to improve.

Data used: https://www.kaggle.com/shahir/protein-data-set

Now then, how about we jump right in?

We begin by fooling around with the data a little bit. In order to do this, we first need to actually, well, get the…

Abhinav A

A student with a lot of love for data science, machine learning, and that sort of thing! https://github.com/AAbhi256

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