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Time series analysis projects: forecasting, anomaly detection, and trend analysis using classical (ARIMA, SARIMA, Holt-Winters) and modern (LSTM, GRU, Transformers) methods.

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End to End Time Series Modeling using Auto ARIMA(Energie).ipynb
End to End Time Series Modeling using Auto ARIMA(Energie).ipynb
 
 
Facebook Prophet(Energie).ipynb
Facebook Prophet(Energie).ipynb
 
 
Le_Prophet(Sales Prediction).ipynb
Le_Prophet(Sales Prediction).ipynb
 
 
Monthly_Production_prediction_using_lstm.ipynb
Monthly_Production_prediction_using_lstm.ipynb
 
 
Multivariate Time series using Vector Autoregression (VAR).ipynb
Multivariate Time series using Vector Autoregression (VAR).ipynb
 
 
Prevision_de_vente-FP1_lag-Without_blg.ipynb
Prevision_de_vente-FP1_lag-Without_blg.ipynb
 
 
Prevision_de_ventep_lag-.ipynb
Prevision_de_ventep_lag-.ipynb
 
 
README.md
README.md
 
 
Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning.ipynb
Stock Price Prediction And Forecasting Using Stacked LSTM- Deep Learning.ipynb
 
 
Time Series Data Preparation for Deep Learning (LSTM, RNN) models.ipynb
Time Series Data Preparation for Deep Learning (LSTM, RNN) models.ipynb
 
 
VAR model lesson.ipynb
VAR model lesson.ipynb
 
 
VECM model lesson.ipynb
VECM model lesson.ipynb
 
 
Weather_prediction_(LSTM).ipynb
Weather_prediction_(LSTM).ipynb
 
 

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Time-series-analysis-and-forecasting

Time series analysis projects: forecasting, anomaly detection, and trend analysis using classical (ARIMA, SARIMA, Holt-Winters) and modern (LSTM, GRU, Transformers) methods.

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Time series analysis projects: forecasting, anomaly detection, and trend analysis using classical (ARIMA, SARIMA, Holt-Winters) and modern (LSTM, GRU, Transformers) methods.

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