In this session, we will train a Linear Regression model to predict future ROI (Return On Investment) of variable advertising spend budgets across multiple channels including search, video, social media, and email using Snowpark for Python and scikit-learn. By the end of the session, you will have an interactive web application deployed visualizing the ROI of different allocated advertising spend budgets.
[#VIRTUAL] KEYNOTE (AI): Snowflake -- Training, Deploying, and Running a ML model using Python and Snowpark
Daniel is a Senior Developer Relations Manager at Snowflake. Previously, he held leadership roles at several companies, including Google and Cisco. In addition, he led and founded multiple startups. Daniel has a bachelor’s degree in computer engineering and an MBA, and he is an inventor of three patents.