Automobile price prediction
predict price using some variables which are represent in vehicle.
First got the data set which is saved on example. Then select normalized losses column and excluded.
After that clean the data set. In that process remove some rows which has empty values.
After clean, selected some independent columns for data set. then split that data set to two part . 75% of
data used for train model and 25 % used for predict values.
After that selected Linear Regression model train that model.
