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Improving-Time-Series-Prediction-Using-Empirical-Mode-Decomposition

Forecasting Apple Inc stock prices using hybrid method of EMD (Empirical Mode Decomposition) and various machine learning algorithms such as ARIMA, RNN

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Overview

Forecasting Apple Inc stock prices using hybrid method of EMD (Empirical Mode Decomposition) and various machine learning algorithms such as ARIMA, RNN

Topics & capabilities

time-serieseducationdeep-learning

Repository information

Repository
enessinanparildi/Improving-Time-Series-Prediction-Using-Empirical-Mode-Decomposition ↗
Repository owner
enessinanparildi
Primary language
Python
Repository code license
Not recorded
Maintenance status
Not archived at the recorded check
Forked repository
No
GitHub stars
10
Forks
0
Default branch
main
Last repository push
Feb 22, 2025

Source: GitHub API · observed Oct 11, 2026. Stars and forks are recorded counts. Repository code licenses may differ from dataset or model-weight licenses.

Source links & provenance

https://github.com/enessinanparildi/Improving-Time-Series-Prediction-Using-Empirical-Mode-Decomposition ↗

Discovery references

References explain how this resource entered the collection. They do not represent an endorsement.

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