In this webinar, Parth Tiwary (neptune.ai’s Product team) and Kamil Kaczmarek (neptune.ai’s DevRel team) dive into best practices that teams use to keep track of time series forecasting models.
- A quick intro to forecasting with ARIMAX, FBProphet, and LSTM
- Why and what to track in time-series forecasting projects?
- How you can use Neptune for:
- Keeping track of each model instance ‘per time series’ for the same algorithm
- Logging model forecasts and visualizing them in Neptune
- Organizing thousands of runs with custom dashboards and views
- Tips and tricks on using Neptune for time-series forecasting
- Q&A session
What is neptune.ai?
Time series models and what to track
Other useful resources
Play with a live time series example project in the Neptune app (no registration needed).
Explore the Prophet + neptune.ai integration.