python jypter

In [ ]: \#your code goes here Ex.3: There are 25 attributes and this is a lot! Perform dimensionality reduction by removing from the DataFrame the url , region_url, VIN , title_status, image_url, county, lat and long attributes: In [ ] : Ex.4: There should be 6 distinct values (7 with nan ) for the categorical attribute condition , show them: In [ ] : Ex.5: Re-classify the condition column so that fair values are now good and like new values are now excellent: In [ ]: \#your code goes here Ex.6 There should be 214 cars where theire condition is labeled as salvage, new or nan. Can you show them? In [ ]: \#your code goes here Ex.7: Can you find the column with the most missing values? If yes, remove this column: In [ ] : Ex.8: Are there any cars that have purchased prior to 1990? If yes, remove those cars