The Balancing Act: Turning Skewed Data into Reliable Insight
Data, in many ways, behaves like a classroom full of students. Some voices are loud, confident, and overrepresented, while others sit quietly in the back, barely noticed. In the world of machine learning, this imbalance between majority and minority classes creates biased models — ones that celebrate the “popular students” while neglecting the quiet but…
