In this course, students are introduced to the processes of managing, exploring, visualizing and acting on large amounts of data. This course provides an introduction to data mining techniques, such as classification, regression, association rules, cluster analysis and recommendation systems. All material covered is reinforced through hands-on experience using state-of-the-art tools to design and execute data mining processes. Class examples come from Python and R.
Machine Learning, Association Mining, Cluster Analysis, Recommender Systems
- IPython, scikit-learn, pandas, GraphLab Create, R, RPy