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[rashrosha]

In this code I do the important steps for predict the car price, first data cleaning, then encoding according that the model is mathematical equation so we cann't input strings to it ,so we convert it to number through label encoding and one hot encoding according to the number of categories in column, then visualize the data to distinguish the important feature from the weak one, after that apply the recogintion on five models and SVR give the best result
then select the important features only and input them to the same models but the result before was best
also SVR has the best result
I am available for an interview or further discussion. I look forward to your response.
Rasha Albezreh