kNN: In this part, you will be using kNN, where k=1, 3, 5, 7 and 9. Use normalized Euclidean distance to find the distance between two data-points. To normalize, use the max values from the training dataset (not from test datasets). Compute the Error RMSE for both training and test data sets. You do not need to compute the training error when k=1, because it will be zero. Plot the graphs. For this part, coding is needed so also submit your code with screenshots. Data set: Use any data points(from the web) to predict PRICE of the house based on features bed, bath, Area. (Use at-least 10 - 15 data points).