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pacf-autocorrelation

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dimpupraharsh / Time-Series-Forecasting-A-Comparative-Study-of-ARIMA-LSTM-GRU

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📌 Short Description: This repository presents a comparative analysis of ARIMA, LSTM & GRU models for time series forecasting using both quarterly sale and daily stock prices datasets. The project includes data preprocessing, model implementation, performance evaluation to identify the most effective forecasting techniques

gru adf forecasting-models lstm-neural-networks arima-forecasting pacf-autocorrelation
  • Updated May 7, 2025
  • Jupyter Notebook

SayamAlt / Industrial-Production-Index-Time-Series-Forecasting

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Industrial Production Index Time Series Forecasting using a range of models including Holt-Winters, ARIMA, SARIMA, LSTMs, and Facebook's Prophet. The project focuses on predicting production trends through model evaluation, tuning, and visualization of forecasted outcomes.

deep-learning recurrent-neural-networks statsmodels lstm-neural-networks sarimax facebook-prophet-forecasting triple-exponential-smoothing simple-exponential-smoothing time-series-forecasting arima-forecasting holt-winters-forecasting augmented-dickey-fuller-test double-exponential-smoothing pacf-autocorrelation acf-autocorrelation time-series-generation model-training-and-evaluation
  • Updated Oct 9, 2024
  • Jupyter Notebook

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