Samruddhi and Kumar [6] tackled the task of car price prediction with a k-nearest neighbor classifier. Their experiments were conducted on a Kaggle dataset containing information about each car’s name, location, year, kilometers, fuel, transmission, mileage, owner’s number, engine, power, an...
Built for the [2018 Data Science Bowl](https://www.kaggle.com/c/data-science-bowl-2018) Code is in the `samples/nucleus` directory.  ### [Mapping Challenge](https://github.com/crowdAI/crowdai-mapping-challenge-mask-rcnn): Convert ...
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Samruddhi and Kumar [6] tackled the task of car price prediction with a k-nearest neighbor classifier. Their experiments were conducted on a Kaggle dataset containing information about each car’s name, location, year, kilometers, fuel, transmission, mileage, owner’s number, engine, power, an...