Program Explanation: This is a python program to predict car prices based on the features of the available dataset. The idea is to predict car prices using processed data and form models using Linear Regression method for several different features resulting from feature selection, then evaluate the model and choose the best model.
This Machine Learning Model achieves a accuracy of 88% using Linear Regression Algorithms.