Goal of this experiment is to predict the price of automobile parts using Linear Regression.
First, pre-defined dataset (Automobile part price(Raw)) was used as the input data. Dataset was cleaned before using it. Then a model was created. To predict prices for parts, Linear Regression was selected as the algorithm. Finally, using a score model, prices were predicted. Mean 12733.5625 Median 9541.5 Min 5195 Max 41315 Standard Deviation 8294.6886 Unique Values 44 Missing Values 0 Feature Type Numeric Label