Exercise: Simple kNN Regression The goal of this exercise is to re-create the plots given below. You would have come across these graphs in the lecture as well. Instructions: Part 1: KNN by hand for k=1 - Read the Advertisement data. - Get a subset of the data from row 5 to row 13. - Apply the kNN algorithm by hand and plot the first graph as given above. Part 2: Using sklearri package - Read the Advertisement dataset. - Split the data into train and test sets using the train_test_split() function. - Set as the possible k values ranging from 1 to 70. - For each value of k in k_list: - Use sklearn to fit train data. - Predict on the test data. - Use the helper code to get the second plot above for k=1,10,70. Exercise: Simple kNN Regression The goal of this exercise is to re-create the plots given below. You would have come across these graphs in the lecture as well. Instructions: Part 1: KNN by hand for k=1 - Read the Advertisement data. - Get a subset of the data from row 5 to row 13. - Apply the kNN algorithm by hand and plot the first graph as given above. Part 2: Using sklearri package - Read the Advertisement dataset. - Split the data into train and test sets using the train_test_split() function. - Set as the possible k values ranging from 1 to 70. - For each value of k in k_list: - Use sklearn to fit train data. - Predict on the test data. - Use the helper code to get the second plot above for k=1,10,70