Introduction to Data Scrubbing

Explore the fundamentals of data scrubbing to prepare clean and efficient datasets for machine learning. Understand key operations such as removing redundant variables, applying one-hot encoding, handling missing data, and reducing dimensionality to improve model performance and avoid common errors.