PyData Genève Meetup Vol. 1

Hello everyone,

Finally we'll have our first proper PyData event. What does that mean you might ask? It means we'll have a talk, some slots for lightning talks and most importantly Pizza and beers (and other beverages)!

For our first ever talk I am happy to announce that we'll have Julien Herzen one of the creator of the popular Darts library give a talk on said library.
Please find the abstract below, we also have 2 slots for lightning talks so if anyone is interested in presenting their work, a cool library/blog or similar they have come across let us know.

Abstract:

Darts: User-Friendly Modern Machine Learning for Time Series
Darts (https://github.com/unit8co/darts) is an open-source Python library for machine learning on time series, with a focus on forecasting. It contains a variety of models, from classics such as ARIMA to deep neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. It has been designed with machine learning in mind - for example scaling to large datasets of multidimensional time series, and having rich support for probabilistic forecasting.
In this talk, Julien will give an intro to Darts and its main features.