Predicting Housing Prices Using Linear Regression

In this chapter, we will introduce supervised learning and predictive modeling by implementing linear regression. In the previous chapter, you learned about exploratory analysis, but haven't looked at modeling yet. In this chapter, we will create a linear regression model to predict housing market prices. Broadly speaking, we are going to predict target variable with the help of its relationship with other variables. Linear regression is very widely used and is a simple model for supervised machine learning algorithms. It's essentially about fitting a line for the observed data. We will start our journey with explaining supervised learning and linear regression. Then, we will analyze the crucial concepts of linear regression such as independent and dependent variables, hyperparameters, loss and error functions, and stochastic...