data mining and clustering

This project implements a complete data mining pipeline within a computational analysis environment. It covers data preprocessing, exploratory analytics, and algorithmic modeling to extract meaningful patterns and insights from the dataset. The workflow integrates structured documentation alongside executable code and visual outputs, ensuring clarity, reproducibility, and analytical rigor. Designed for scalability and evaluation, the project reflects best practices in data science methodology and knowledge discovery