- Scroll to SubtopicIntroduction to predictive analytics in the Jupyter Notebook and look just above at the pairplot we created in the previous section. In particular, look at the scatter plots in the bottom-left corner:
Note how the number of rooms per house (RM) and the % of the population that is lower class (LSTAT) are highly correlated with the median house value (MDEV). Let's pose the following question: how well can we predict MDEV given these variables?
To help answer this, let's first visualize the relationships using Seaborn. We will draw the scatter plots along with the line of best fit ...
