the following is the output for the preceding codethe actual dataset is much larger this is just the first few samples sothis is real data of mileagemakemodeltrimtypedoorscruisesound and leather oknow we're going to use qboebt to split that up into the features that we care about we're going to create model that tries to predict the price just based on the mileagethe modeland the number of doorsand nothing else jnqpsutubutnpefmtbqjbttn eg qe$bufhpsjdbm egpefm dpeft egz eg tnbee@dpotubou ftu tn -  gju ftutvnnbsz now the problem that run into is that the model is textlike century for buickand as you recalleverything needs to be number when ' doing this sort of analysis in the codei use this $bufhpsjdbm gvodujpo in qboebt to actually convert the set of model names that it sees in the %bub'sbnf into set of numbersthat isa set of codes ' going to say my input for this model on the -axis is mileage jmfbhf)model converted to an ordinal value pefm@pse)and the number of doors (%ppstwhat ' trying to predict on the -axis is the price ( sjdf