Kaggle Project: DataScience London Scikit Learn

http://www.kaggle.com/c/data-science-london-scikit-learn

Please note that the data from this competition is not mine to releaase. This competition is open to the public on Kaggle and you can get the data if you sign up.

My current approach is a Support Vector Machine with PCA for dimensionality reduction. As of 12/16, I am ranked 65th of 137, with a test data accuracy of .91878. I hope to break into the top 25% at some point :).