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DARTS Time Series Made Easy in Python
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darts is a Python library for easy manipulation and forecasting of time series. 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. The library also makes it easy to backtest models, combine the predictions of several models, and take external data into account. Darts supports both univariate and multivariate time series and models. The ML-based models can be trained on potentially large datasets containing multiple time series, and some of the models offer a rich support for probabilistic forecasting.
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Hi, I've 6 years of experience in Deep Learning with Pytorch/Tensorflow. Also, I've good experience in Machine Learning Prediction Modeling. Please contact me for further discussion. Best. Joseph.
Hi I have 8 years of experience in ⭐ python for forecasting model training ⭐. I've read the project description carefully and can start work immediately. Let`s discuss about more detail in chat box. Best regards!