Description
This tutorial will offer an introduction machine learning and how to apply it to a Kaggle competition. We will cover methodologies that have worked well across a diverse set of problems, and then work on a current Kaggle competition together using iPython notebook and scikit-learn. We will cover concepts including feature extraction, feature selection, model evaluation, and data visualization.