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feature engineering it is one of those black art ninja data science tricks that the masters use to raise the accuracy of their model whether its a neural network support vector machine xg boost whatever and get better accuracy now feature engineering ive definitely used this particular black magic and kaggles of my own you can see here in the core of question pairs i got to a top seven percent ranking and i did this not by throwing crazy amounts of compute power at it but just looking at the data using my human intuition and understanding how i can take the data that i already have recombine it and create additional features that give additional lift to the model now feature engineering is nothing more than taking that input vector of your data set that youre given here you see cars and picking out a couple of these that you want to recombine in a different way for example lets just pick horsepower and displacement of the engine we can then combine those into a ratio where youre
