Develop a comprehensive machine learning pipeline for loan prediction using scikit-learn in this 59-minute tutorial. Learn to implement key components including data ingestion, cleaning, feature engineering, augmentation, model building, improvement, and deployment. Follow along with four Jupyter notebooks covering different aspects of the pipeline, from initial data processing to model reuse for predictions. Gain hands-on experience with pandas, scikit-learn, and other essential tools for data analysis and machine learning in Python.