Predicts the price of a car based on different variables such as make and technical specifications.
1.Creating a model has three steps such as, *Get the data *prepare the data -Have to pre-processing the datas before analyzing. Missing values need to be cleared so the model can analyse the data correctly the data correctly. *Define features -Build a model that uses a subset of the features in our data set. 2.Train the model-choose and apply an algorithm to test the model to see how closely it's able to predict . 3.score and test the model -Predict new automobile prices . The output shows the predicted values for price and the known values from the test data.