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Conditional Forecasting and Scenario Analysis Using VAR Models (R package)

Financial time series analysis and prediction have become an important area of re- search in today's world. Designing and pricing securities, construction of portfolios and other risk management strategies depends on the prediction of financial time se- ries. A financial time series often involve... Read more

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A forecasting tool for time series, Long Term Prediction.

In this fourth course, you will learn how to build time series models in TensorFlow. You’ll first implement best practices to prepare time series data. You’ll also explore how RNNs and 1D ConvNets can be used for prediction. Finally, you’ll apply everything you’ve learned throughout the Specializ... Read more

This repo contain the code related to the Medium post: https://medium.com/p/168b47e54d54

K-Nearest Neighbors Time Series Prediction with Invariances

Wind speed prediction using machine learning algorithms and time-series models

tspredit: Time Series Prediction Integrated Tuning

[TKDE] The official code implementation for Financial Time Series Prediction with Multi-granularity Graph Augmented Learning.