Monday, January 10: Introduction to data mining and predictive analytics (approach, concepts, applications) Statistics vs. data mining Interactive data visualization (software introduction, concepts, and hands-on experience) Wednesday, January 12: Supervised learning: Prediction and Classification Evaluating predictive power Thursday, January 13: Supervised learning - cont. Unsupervised learning (dimension reduction, clustering, association rules) |
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