[x] Download the spambase dataset, but do not commit it to your repository
[x] Create an IPython notebook to write your code and collect your findings
[x] Normal mode
[x] Load in the data file, doing any cleaning necessary to get usable data
[x] Subsample the data set into training and test data
[x] Write code to classify the data into spam/not-spam, making sure that you just use your training data to build your model, and checking your results with your test data
[ ] Hard mode
[ ] Try reducing or changing your features in order to get better results
[ ] Find another dataset and break it down into features
[ ] Test your algorthm on the new dataset and compare its performance
spambase