This tutorial will offer a hands-on introduction to machine learning and
the process of applying these concepts in a Kaggle competition. We will
introduce attendees to machine learning concepts, examples and flows,
while building up their skills to solve an actual problem. At the end of
the tutorial attendees will be familiar with a real data science flow:
feature preparation, modeling, optimization and validation.,Packages used in the tutorial will include: IPython notebook,
scikit-learn, pandas and NLTK.