raoguchi/svm_viz_mlb

This project is an interactive web visualization that teaches how Support Vector Machines (SVMs) work by classifying real MLB pitch types using just two features: release speed and spin rate. It's designed for students, educators, and anyone interested in machine learning who wants a visual, hands-on understanding of SVM decision boundaries and support vectors. The tool