Geo-Joy/Deep-Learning-for-Time-Series-Forecasting
This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.
This project helps you understand and build systems that predict future trends based on historical data. You input a sequence of past observations, and it shows you how to generate forecasts for what might happen next. This is for anyone like a financial analyst, operations manager, or sales forecaster who needs to anticipate future values in their data.
144 stars. No commits in the last 6 months.
Use this if you have time-ordered data and want to learn how to create accurate predictions using modern deep learning techniques.
Not ideal if you are looking for an out-of-the-box forecasting tool without needing to understand the underlying machine learning concepts.
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BSD-3-Clause
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Last pushed
Jan 03, 2019
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