In this session, you will gain hands on experience scaling their exploratory data analysis and data science workflows with Databricks. You will learn how you can collaborate with team members writing code in different languages (Python, R, Scala, SQL) using Databricks Workspace, explore data with interactive visualizations, and discover new insights, securely share code with co-authoring, commenting, automatic versioning, Git integrations, and role-based access controls. You will learn best practices for managing experiments, projects, and models using MLflow. Attendees will build a pipeline to log and deploy machine learning models to production. Connect with us: Website: Facebook: Twitter: LinkedIn: Instagram:
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