Discover opportunities to speed up your data science processes! Are you copying your data to do PreProcessing – or training models using open-source frameworks like Scikit-learn, XGBoost or LightGBM? Join this session and learn how Snowpark ML Modeling API scales out feature engineering and simplifies ML training execution for faster and more intuitive model development. 

A Snowflake expert will teach you step-by-step how to build a set of notebooks leveraging Snowpark & Snowpark ML for Python:

• To load and clean data
• To perform features transformations on the data using Snowpark ML transformers
• To train an XGBoost ML model using Snowpark ML estimators
• To deploy the trained model in Snowflake using the Snowpark Model Registry