A Visual Introduction to Machine Learning

You can visualize your elevation ( 242 ft) and price per square foot ( $1776) observations as the boundaries of regions in your scatterplot. Homes plotted in the green and blue regions would be in San Francisco and New York, respectively. Identifying boundaries in data using math is the essence of statistical learning. Of course, you'll need additional information to distinguish homes with lower elevations and lower per-square-foot prices. The dataset we are using to create the model has 7 different dimensions.