Data Science Project

An end-to-end data science solution designed to collect, clean, analyze, and visualize datasets for actionable insights. The project applies machine learning models to solve real-world problems such as classification, regression, and clustering. It also includes interactive visualizations to make results clear and accessible.

Technologies: Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook.