Data Preprocessing

I completed a data preprocessing project to clean and prepare raw data for analysis and machine learning. The project involved handling missing values, encoding categorical variables, scaling numeric features, and splitting the dataset into training, validation, and test sets. Python libraries such as Pandas, NumPy, and Scikit-learn were used to ensure data quality and improve model performance.