linear-regression

Hi I would like to propose a better implementation for 'test_indices':

We can remove the unneeded np.array casting:

Cleaner/New:
test_indices = list(set(range(len(texts))) - set(train_indices))

Old:
test_indices = np.array(list(set(range(len(texts))) - set(train_indices)))

with video_demo.py about 20% speed compared to your 1.0 repo. but thanks much for sharing!

Today i add a license for this repository.

I see that many algorithms do have their readmes but do not have a (theoretical) explanation for the concerning algorithm. I would like to add content to such readmes.