Unit8 Talks #8 - Time series forecasting made easy - Introduction to Darts

Unit8 Talks #8 - On technology - Time series forecasting made easy - Introduction to Open-source Darts Darts is our open source Python library for time series manipulation and forecasting. Among other things, it contains a good collection of forecasting models - from ARIMA to RNNs and convolutional networks, which can all be used through a single API. In this webinar, we will discuss the reasons why we decided to create Darts, and how it can be used. In particular, we will cover a few examples that will give an overview of the main functionalities, and discuss some of the roadmap for future developments of Darts. Who should attend? Data Scientists Forecasting enthusiasts Python enthusiasts Read more on Darts -   / darts-time-series-made-easy-in-python   Get in touch [email protected] More about Unit8 - https://unit8.co/ Unit8 on LinkedIn -   / unit8.co   Unit8 on Twitter -   / unit8co   Unit8 on Instagram -   / unit8.co   Unit8 on Medium -   / unit8-machine-learning  

Unit8 Talks #9 - From Customer Churn to Climate Change - The Impact of AI in Insurance
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Unit8 Talks #9 - From Customer Churn to Climate Change - The Impact of AI in Insurance

Darts for Time Series Forecasting - Julien Herzen, Francesco Lässig at PyData Global 2021
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Darts for Time Series Forecasting - Julien Herzen, Francesco Lässig at PyData Global 2021

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Hierarchical Forecasting in Python | Nixtla

Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024
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Kishan Manani- Backtesting and error metrics for modern time series forecasting | PyData London 2024

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NestJS Full Course for Beginners in 2026 | Build a Production-Ready API

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Time Series Forecasting with XGBoost - Use python and machine learning to predict energy consumption

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Automatically Find Patterns & Anomalies from Time Series or Sequential Data - Sean Law

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Time Series Forecasting with XGBoost - Advanced Methods

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The Bayesians are Coming to Time Series

DARTS - Unifying time series forecasting. - Weronika Dranka
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DARTS - Unifying time series forecasting. - Weronika Dranka

Darts for Time Series Forecasting - Julien Herzen, Francesco Lässig | PyData Global 2021
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Darts for Time Series Forecasting - Julien Herzen, Francesco Lässig | PyData Global 2021

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Yann LeCun: World Models: Enabling the next AI revolution

Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022
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Kishan Manani - Feature Engineering for Time Series Forecasting | PyData London 2022

Unit8 Talks #11 AI in Chemistry revolutionalising creation to manufacturing process
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Unit8 Talks #11 AI in Chemistry revolutionalising creation to manufacturing process

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Hierarchical Time Series With Prophet and PyMC (Matthijs Brouns)

The Story of Python and how it took over the world | Python: The Documentary
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The Story of Python and how it took over the world | Python: The Documentary

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Hierarchical Time Series Forecasting | Intermittent Demand (M5 Comp)

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G. Grosch, F. Lässig - Darts: Unifying time series forecasting models from ARIMA to Deep Learning