MLOps - Feature Engineering for Tabular Data With GPU Acceleration

Explore advanced feature engineering techniques for tabular data using GPU acceleration with RAPIDS cuDF and cuML in this 56-minute video tutorial. Learn to implement target encoding and count encoding methods while training models with both XGBoost and Support Vector Machines. Compare CPU versus GPU performance throughout the demonstrations to understand the computational advantages of GPU-accelerated workflows. Access practical notebooks that showcase real-world applications of these techniques for machine learning operations and data science projects.