Automobile price prediction

February 15, 2020
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 do cleaned so the model can analyze the data correctly. * Define Features - Build a model that uses a subset of the features in our dataset. 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 know values for price and the known values from the test data**