Automobile price prediction

This experiment predicts the price of a car based on different variables such as make and technical specifications. Regression algorithms are used because they make numerical predictions. This experiment follows the default workflow of an experiment. ***1. Create a model*** • Get the data • Prepare the data • Define features ***2. Train the model*** • Choose and apply an algorithm ***3. Score and test the model*** • Predict new automobile prices This dataset includes entries for various individual automobiles, including information such as make, model, technical specifications, and price. The output shows the predicted values for price and the known values from the test data.