Hey @norvig, @MrDupin: currently, the learning.ipynb notebook lacks an example for ensemble learning. Since the perceptron classifier gives an accuracy of almost 68.8% (not a weak learner though) on the iris dataset, I was thinking that maybe we can use it to add an example for AdaBoost algorithm and show how it works. We can also add code for decision stump, but since its pseudo code has not been provided maybe we can go with the perceptron classifier?
I also wanted to add some tests for AdaBoost.

What do you think?