This repository presents a complete machine learning and deep learning pipeline for analyzing the UCI SECOM Dataset, a real-world dataset from semiconductor manufacturing. The objective is to predict whether a chip passes or fails quality control, enabling predictive quality assurance in manufacturing processes.