We developed three machine learning algorithms, each with a different approach, to guess a student's favourite city. The data was sourced from our peers in the classroom and has a number of parameters that can help differ one city from another. We achieved the highest testing accuracy of 85% across all models and we have summarized our findings in our report in this repository as well.
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If you are not a student at the University of Toronto, please remember that you are responsible for following the Academic Integrity Policy of your institution. You are reminded that copying any code from this repository without proper citation may constitute plagiarism. You are encouraged to consult your institution's Academic Integrity Policy for further guidance.
Remember that copying code blindly is not only academically dishonest, but also counterproductive to your learning. If you are struggling with a concept, please reach out to your instructor or TA for help. They are there to help you, and will be more than happy to do so! This repository is intended to be used as a reference, not as a source of code to copy. Please use it responsibly.