No-Code Time Series Forecasting (Multivariate AutoML on GCP)

Learn how to easily perform time series forecasting using Google Cloud's Vertex AI in this practical tutorial. We walk through generating synthetic sales data, importing it into Vertex AI Datasets, training an AutoML Forecasting model, and generating predictions - all with minimal coding required. * Discover key dataset requirements for optimal forecasting results * Learn to configure multiple models for forecasting * Generate batch predictions and evaluate model performance * Explore how Vertex AI enables forecasting with multiple related time series Demonstration Code and Diagram: https://github.com/nodematiclabs/vertex-ai-forecasting Free Trial - Our New Diagram Tool: https://softwaresim.com/pricing/ ("YOUTUBE24" for 25% Off) If you are a cloud, DevOps, or software engineer you’ll probably find our wide range of YouTube tutorials, demonstrations, and walkthroughs useful - please consider subscribing to support the channel. 0:00 Conceptual Overview 1:39 Vertex AI Datasets 2:50 Time Series Data 4:04 AI Data Importing 5:52 Model Training 9:48 Batch Prediction Forecasting