Predicting Car Mileage Using Machine Learning

Auto dataset available in R, ISLR package was used for this analysis. Purpose of ML model Predict the car mileage per gallon based on features like weight and year of manufacture. KNN (K-Nearest Neighbor) regression model is being used. Process for Creating ML Model - Divide dataset into train and test sets, 65% and 35% approximately. This resulted in a MSE of 15.25 - Applied KNN regression for 50 k-values and computed mean squared error.