Darts For Time Series Forecasting ( Python Library for Forecasting)

This talk will give an introduction to Darts an opensource library for time series processing and forecasting. Darts provides a wide variety of models and tools under a unified and userfriendly API. We will give a high level introduction to both time series forecasting and the main features of Darts. Description Time series are everywhere in science and business, and the ability to forecast them accurately and efficiently can provide decisive advantages. Darts is an opensource Python library, which provides a wide variety of forecasting models and tools under a single and userfriendly API. It puts emphasis on reducing the experiment cycle duration and improving the ease of using, comparing and combining different models; from ARIMA to deep learning models. This talk will give a tour of Darts and some of its main features, such as: quick creation and comparison of forecasting models, backtesting, MLbased models applied to time series forecasting, training forecasting