Channel: PyData

Category: Science & Technology

Tags: pythonlearn to codeeducationsoftwarepydatalearncodinghow to programjuliaopensourcescientific programmingnumfocuspython 3tutorial

Description: Darts for Time Series Forecasting Speakers: Julien Herzen, Francesco Lässig Summary This talk will give an introduction to Darts (github.com/unit8co/darts), an open-source library for time series processing and forecasting. Darts provides a wide variety of models and tools under a unified and user-friendly 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 open-source Python library, which provides a wide variety of forecasting models and tools under a single and user-friendly 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, ML-based models applied to time series forecasting, training forecasting models on multiple time series, producing probabilistic forecasts and integrating external data. We will go over a few toy examples, and see how to address them in a few lines of code. Goals of the talk: Introduce how one can tackle forecasting problems Obtain great results quickly in few line of codes Pre-requisites: Basic knowledge of Python Basic knowledge of data science & machine learning Key take-aways: Quickly create forecasts with your own data Compare and select the best models for your tasks Potentially integrate additional data such as weather forecasts, GDP, ... into your forecasts to improve them Julien Herzen's Bio Julien is the Lead Data Scientist at Unit8, a Swiss Data Science company. His technical specialties are Machine Learning, algorithms and computational techniques. He is a core developer (and creator) of Darts (github.com/unit8co/darts), a time series library, and VeGANs (github.com/unit8co/vegans), a generative modelling library. Julien has a PhD in Computer Science from EPFL in Lausanne. GitHub: github.com/hrzn Twitter: twitter.com/jlhrzn LinkedIn: linkedin.com/in/herzen Website: hrzn.ch/ Francesco Lässig's Bio Francesco is a Data Scientist at Unit8 with experience in ML/AI projects in various industries, such as finance, pharma and energy. During his time at Unit8 he has also had the opportunity to become one of the main contributors to the Darts open-source library. GitHub: github.com/pennfranc LinkedIn: linkedin.com/in/francesco-laessig PyData Global 2021 Website: pydata.org/global2021 LinkedIn: linkedin.com/company/pydata-global Twitter: twitter.com/PyData pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases. 00:00 Welcome! 00:10 Help us add time stamps or captions to this video! See the description for details. Want to help add timestamps to our YouTube videos to help with discoverability? Find out more here: github.com/numfocus/YouTubeVideoTimestamps