GitHub / Omar10lfc / Neural-Network-Project-Weather-Forcasting

In this notebook a weather prediction workflow is implemented using deep learning models (LSTM and GRU). It involves data preprocessing, exploratory data analysis (EDA), model training, and evaluation using historical weather data. The goal is to compare the performance of LSTM and GRU networks in forecasting weather conditions based on past trends

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PURL: pkg:github/Omar10lfc/Neural-Network-Project-Weather-Forcasting

Topics: deep-learning, gru-neural-networks, lstm-neural-networks, time-series-analysis

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