Inspiration
As University of Toronto students living in the heart of the downtown and in the Greater Toronto Area, we heavily rely on the TTC's services to get around the city. Our familiarity with the TTC's merits and demerits has set us on a path to improve the transit experience for fellow Toronto-dwellers by predicting service delays.
What it does
We used exploratory data analysis (data cleaning, data visualization) to gain insights into the data. The project uses our "Above or Below" algorithm, which predicts using Random Forest classifier.
What we learned
About Data Science and Machine Learning!
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