Explore, Experiment, Innovate
Every Line Tells a Story
This space is where I explore ideas through trial and error —
guided by curiosity, powered by code.
05
This practice demonstrates a K-Nearest Neighbors (KNN) model in Python with the Wisconsin Breast Cancer dataset, using perimeter and concavity to classify diagnoses (malignant or benign) and reveal how scaling matters.
06
This work leverages parallel coordinates using the Wisconsin Diagnostic Breast Cancer dataset to plot KNN Regression configurations as intuitive paths, spotlighting training and test RMSE’s rise and fall at a glance.
07
This work layers hydrants, roads, and parcels in QGIS to showcase points, polylines, and polygons as core geometries, spotlighting spatial referencing, styling flexibility, and boundary mapping with house numbers in view.
08
This work shows beeswarm, waterfall, and force plots to explain how features affect predictions. They highlight which features matter most, the order they contribute, and give clear signals of strength and direction.
