oguiza/Practical-Deep-Learning-Applied-to-Time-Series
Practical Deep Learning resources for Time series analysis and forecasting
This is a comprehensive resource for anyone looking to apply deep learning techniques to time series data. It helps you understand and implement advanced forecasting and analysis methods, taking raw time series information and producing predictive models or insights. This is ideal for data scientists, analysts, or researchers working with sequential data in fields like finance, healthcare, or operations.
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Use this if you need to build accurate predictive models or extract patterns from complex time-dependent datasets using deep learning.
Not ideal if you are looking for a maintained, production-ready library, as this repository is no longer actively updated.
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Sep 09, 2021
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