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A machine learning project that uses Toronto Police bicycle theft data to predict whether a bicycle has been stolen or recovered. Features are extracted and different models are trained to predict with varying accuracy.
A predictive software that would help both the police department and the “general public” to get an idea about the likelihood of bicycle theft and the recovery.