This project involved end-to-end data preprocessing and visualization to prepare a dataset for machine learning modeling. Key tasks included data cleaning, handling missing values, feature engineering, and exploratory data analysis. I created visualizations to highlight patterns and insights in the dataset, enabling better model performance and interpretation. The work demonstrates my skills in Python, Pandas, Matplotlib, Seaborn, and data-driven problem solving
