Tools · MarkTechPost ·

End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment

End-to-End Forecasting with TimesFM 2.5: Backtesting, Covariates, Anomaly Detection, and Scalable Colab Deployment

The tutorial presents an end-to-end time-series forecasting workflow using TimesFM 2.5. It covers synthetic retail data generation, model setup, backtesting, covariates, anomaly detection, hardware configuration, and deployment in Google Colab.

Read the full story at MarkTechPost →