Linear SVM Classifier on Twitter User Recognition by Leon van Bokhorst.
From the post:
Support Vector Machines (SVM) are very useful and popular in data classification, regression and outlier detection. This advanced supervised machine learning algorithm can quickly become very complex and hard to understand, but can lead to great results. In the example we train a linear SVM to detect and predict who’s the writer of a tweet.
Nice weekend type project, Python, iPython notebook, 400 tweets (I think Leon is right, the sample is too small), but an opportunity to “arm up the switches and dial in the mils.”
Enjoy!
While you are there, you should look around Leon’s blog. A number of interesting posts on statistics using Python.