Decision tree learning is one of the predictive modeling approaches used in statistics, data mining and machine learning.
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Taught by Professor Talithia Williams of Harvey Mudd College, this course surveys college-level statistics through dozens of exercises conducted in R, a free statistical programming language with millions of users worldwide.
