IPython notebook Solutions (with data) for University of Washington's Machine Learning Foundation course on Coursera
This is an introductory course giving some overview and hands-on examples on various machine learning methods that are used in practice. From the course page "In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains.".