2. An Introduction to Regression

Activity 2.01: Boston House Price Prediction with Polynomial Regression of Degrees 1, 2, and 3 on Multiple Variables

Solution:

1. Open a Jupyter Notebook.
2. Import the required packages and load the Boston House Prices data from sklearn into a DataFrame:

   import numpy as np
   import pandas as pd
   from sklearn import preprocessing
   from sklearn import model_selection
   from sklearn import linear_model
   from sklearn.preprocessing import PolynomialFeatures
   file_url = 'https://raw.githubusercontent.com/'\
              'PacktWorkshops/'\
              'The-Applied-Artificial-Intelligence-Workshop/'\
              'master/Datasets/boston_house_price.csv'
   df = pd.read_csv(file_url)

   The output of df is as follows:

   Figure 2.28: Output displaying the dataset

   Earlier in...