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Time Series Forecasting (From Baselines to Delivery)
Forecast demand and KPIs with proper backtesting, strong baselines, feature-based models, and delivery-ready outputs.
Time SeriesForecastingBacktestingML
Duration
3 days
Format
Remote
Level
Intermediate
Key outcomes
- Choose correct backtesting and evaluation for time series
- Build strong baselines before complex models
- Use feature-based models for scalable forecasting
- Deliver forecasts with uncertainty and monitoring signals
Program
Detailed syllabus will be published soon. Contact us to receive the latest version.