Introduction to Statistical Learning.

Catalog description

Practical statistical modeling of data using professional-grade software. Principles, methodologies, and applications of supervised techniques such as classification, resampling, model selection, nonlinear regression, and tree-based methods; unsupervised techniques including clustering and dimension reduction.