Predicting Rain with Machine Learning

Let's read in all the data we have. Since all the region data share a primary key date, we can connect them with concat() in pandas and set the keys as the region names. I don't want the regions as the index, so we can reset the index and then rename some columns to get the data in the right shape. Let's first visualize our target class. It appears we have in our hands an imbalanced class, as the N label is dominating the rest of the classes.