Academic • 2025
KNN Classification on Vertebral Column Data
A coursework comparison of K-nearest-neighbor distance metrics on the UCI Vertebral Column dataset.
My Role
Implemented and documented the notebook analysis for USC machine-learning coursework.
Team Size: 1 person
Problem
Distance metrics and feature scales change a nearest-neighbor classifier’s behavior. The assignment explores those choices with a labeled public dataset.
Approach
Compared distance metrics and neighbor counts in a Jupyter notebook, using confusion matrices, classification scores and learning curves to examine the trade-offs.
Impact
Documented a classroom analysis of model choices on the supplied dataset. This is an academic classification exercise, with no clinical deployment or diagnostic-validation claim.
Technologies
PythonJupyterpandasNumPyscikit-learnmatplotlib