LSTM and GRU based Timeseries forecasting of Beehive weight

• Data based on the trachtnet network
• Feature selection for improved forecasting
• Attempted to improve forecasting by clustering beehives based on different approaches
• Both LSTM and GRU for forecasting are implemented using Tensorflow/Keras and tuned using KerasTuner