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/vert...
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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