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ML Side Project: decision tree classifier written from scratch

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kickedCar

Running the Project

Dataset: Kaggle Carvana Kicked Car Competition

Libraries to install: Note that this project runs using Python 3.6, thus please install the compatible version of these modules. Pandas, Tkinter

Instructions: The program automatically runs after gui.py is compiled. Further instructions on screen.

Evaluation: 84.5% accuracy compared to ~79% sci-kit learn out-of-the-box model. See Jupyter Notebook (html file) for more info.

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ML Side Project: decision tree classifier written from scratch

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