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Developed and evaluated forecasting models (ETS, Prophet, LSTM, GRU, Random Forest) to predict temperature trends from historical weather data. Applied feature engineering and model tuning to enhance accuracy, demon- strating skills in both statistical and deep learning time series analysis..

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Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
Images		Images
Athens_meteo.csv		Athens_meteo.csv
Data.ipynb		Data.ipynb
ETS .ipynb		ETS .ipynb
GRU.ipynb		GRU.ipynb
LSTM.ipynb		LSTM.ipynb
Prophet.ipynb		Prophet.ipynb
README.md		README.md
RFR.ipynb		RFR.ipynb

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Time Series Forecasting of Meteorological Data Using Machine Learning and Statistical Models

Statistical Methods

Statistical (with ML elements)

Machine Learning Methods

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Developed and evaluated forecasting models (ETS, Prophet, LSTM, GRU, Random Forest) to predict temperature trends from historical weather data. Applied feature engineering and model tuning to enhance accuracy, demon- strating skills in both statistical and deep learning time series analysis..

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