Snowflake's built-in machine learning functions enable SQL-based time series forecasting without requiring data science expertise or Python programming. The platform provides integrated ML capabilities that work directly with your data warehouse, eliminating data movement and infrastructure management. The tutorial demonstrates creating forecasting models using Snowflake's AI & ML Studio wizard, training multi-series models to predict customer subscriptions by age groups, and evaluating model performance with standard metrics like MAE. The process includes data preparation, model training, prediction generation, and automation scheduling, all executed within Snowflake's interface using SQL commands.
Table of contents
Snowflake Machine Learning Functions: ForecastingStep by step guideSnowflake Trial Account (Free)Getting Started with SnowflakeSetting up data in SnowflakeExploratory Data AnalysisForecastForecastModel trainingModel evaluationAutomate training and inferenceConclusionSort: