Automobile price prediction

February 12, 2020
IT17104586 P.S.R. Weerasinghe Weekday Batch
Main Steps: 1) Import the dataset 2) Select colums from the dataset 2) Clean missing data 4) Select needed colums for the prediction 5) Split data (75% for training and 25% for testing) 6) Build a train model applying linear regresion model using traing data 7) Test the predicted value and actual value using a score model The stats of the predicted values as follows: Mean 12437.776 Median 10208.7085 Min 5446.8479 Max 34960.6439 Standard Deviation 7323.458 Unique Values 46 Missing Values 0 Feature Type Numeric Score