Introduction to Machine Learning with Snowpark ML

WHAT TO EXPECT

Join us for a live instructor-led hands on lab to learn about some of the key ML related capabilities in Snowflake. In this session, we will explore end-to-end ML capabilities in Snowflake from feature engineering to model training and inferencing. 

You will need a Snowflake free trial account for this event. If you haven’t already signed up, please create an account here. 

WHAT YOU WILL EXPLORE & LEARN

• An introduction to Snowpark and Snowflake ML libraries for ML workflows
• How to implement feature engineering and transformations using the Snowflake ML Pre-processing API
• Exploratory Data Analysis of features to understand correlations and relationships
• Building and automating pre-processing pipelines for ML workflows
• Using popular python frameworks such as XGBoost and GridSearchCV for model training, inferencing and tuning
• How to securely deploy and manage model lifecycle in Snowflake using Snowflake Model Registry

WHO SHOULD ATTEND

Our “Getting Started with Snowflake ML” Virtual Hands-On lab sessions are designed for data scientists, machine learning engineers and other individuals who are new to the ML capabilities in Snowflake in general. This session will help you enhance your understanding of end-to-end ML workflows and will showcase how Snowflake provides performance and scalability while also providing a governed ML framework.