NYU Tandon Fall 2016 Machine Learning Competition

One of the biggest challenges of an auto dealership purchasing a used car at an auto auction is the risk of that the vehicle might have serious issues that prevent it from being sold to customers. The auto community calls these unfortunate purchases “lemons”, “kicks” or “Bad Buys”. This cars often result when there are tampered odometers, mechanical issues the dealer is not able to address, issues with getting the vehicle title from the seller, or some other unforeseen problem. Kick cars can be very costly to dealers after transportation cost, throw-away repair work, and market losses in reselling the vehicle. Machine Learning experts who can figure out which cars have a higher risk of being kick can provide real value to dealerships trying to provide the best inventory selection…


Link to Full Article: NYU Tandon Fall 2016 Machine Learning Competition

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