User Testing Notebook (Iris Dataset) Connects with #124

[ndanielsen]

Notebook with exercises generated using the (in)famous Iris dataset. No custom visualizers in this PR as that is the next step -- which will likely be a basic clustering visualizer for KNN using this dataset.

Also few bugs found as well as suggestions for improvements to the tutorial.

@pdamodaran go team!

[coveralls]

Coverage remained the same at 69.348% when pulling 1105f06 on ndanielsen:master into d308414 on DistrictDataLabs:develop.

[bbengfort]

@ndanielsen -- I couldn't view the notebook on GitHub for some reason; what version of Jupyter are you using? However, because you're adding a notebook, I approved the PR.

Also, are you sure you want the example named nathan not ndanielsen? Was thinking of just using GitHub usernames, but that's ok with me if you want.

Also, looks like I just merged your master branch, but you may want to check out develop to make sure your fork is up to date.

[bbengfort]

See #124

[ndanielsen]

hey Ben, good point. I'll change the folder name to my github name. Lastly, I'll take a look at notebook a little later. Also, probably best if I put a requirements file in my folder.

[coveralls]

Coverage remained the same at 69.348% when pulling 7f3a72a on ndanielsen:master into d308414 on DistrictDataLabs:develop.

[bbengfort]

@ndanielsen ok cool, let me know when you're ready for me to review again!

[coveralls]

Coverage remained the same at 69.348% when pulling 13391be on ndanielsen:master into 8c03265 on DistrictDataLabs:develop.

[rebeccabilbro]

Bump @ndanielsen - we're ready to merge this in once you've updated the name in your examples directory to be your Github username

[ndanielsen]

@rebeccabilbro changed name of folder

[coveralls]

Coverage remained the same at 68.503% when pulling eeb8f2a on ndanielsen:master into 37f4d56 on DistrictDataLabs:develop.

[coveralls]

Coverage remained the same at 68.503% when pulling eeb8f2a on ndanielsen:master into 37f4d56 on DistrictDataLabs:develop.