Automobile price prediction
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.
