Week 5 Typos - Githubissues

In supervised learning, a training dataset is being (missing used) to build a model...
Often after developing the model, a seperate (should be separate)...
...read them into a pandas dataframe for convienence (should be convenience)...
We are again going to create a synthentic (should be synthetic) dataset
...show the percentage of varaince (should be variance)...
Computer (should be Compute) average min distance
...how could you improve your model at making predicitons (should be predictions)?

Also, this same statement occurs twice, both at the beginning of the supervised and unsupervised sections:

One way to subdivide the machine learning domain is by supervised or unsupervised learning.

azbones / big_data