Artificial Intelligence Midterm Project In this project, you will build a regression model and a classification model from scratch. Please follow the instructions closely, and only use Python's Numpy, Pandas, and matplotſib library to complete this project. Using functions from sklearn is not allowed Part I dues on Monday, March 22nd at 11:59 PM. Part II dues on Monday, April 12th at 11:59 PM [48] import numpy as np import pandas as pd import matplotlib. pyplot as plt Smatplotlib inline Part I: A Regression Model In this part, please build a multilinear regression model that extracts the relationship between housing prices and other relevant variables. The training data is shown in the table below: datal - pd. DataFramel "YearBuilt" (1974, 1996, 1968, 1962, 1960). "Yearsold": 2015, 2017, 2020, 2010, 2016), "TotalArea: liseo, 4600, 1760, 2500, 2000), Price": 1358506, 452600, 352160, 342300, 342200) data1 YearBuilt Yearsold Bedrooms TotalArea Quality Price 0 1974 2015 3 1500 7.5 358500 1 1996 2017 10 4000 8.0 452600 2 1968 2020 4 1700 4,0 352100 3 1962 2010 5 2500 5.5 341300 4 1960 2016 6 2000 5.0 342200