Advanced Time Series – Multivariate time series forecasting
Time is the most critical factor that influences how a business should operate. That’s why we see sales in stores and e-commerce platforms aligning with holidays or festivals.
Time series modeling is a powerful technique that acts as a gateway to understanding and forecasting trends and patterns. But time series goes well beyond simple regression on a one time series dataset – real world data has many factors that can enrich and strengthen your ability to forecast.
Here we’ll look at Walmart’s sales/demand forecasting dataset as an example.
In this session, you’ll learn:
- What multivariate time-series is and how to deal with it.
- Advanced feature extraction of time series data.
- How to improve forecasts with sliding window validation.
Join Pavithra Rao, Presales Engineer at RapidMiner for this 45-minute lightning demo followed by live Q&A on advanced time series.