Rainfall Prediction with LSTM + Attention

This project explores the use of LSTM (Long Short-Term Memory) and LSTM with an Attention Layer to predict daily rainfall rates in Batam City. The primary goal is to assess the performance difference between the two models when the Attention Layer is implemented. The study leverages the BMKG DataOnline climate dataset and aims to improve prediction accuracy, especially in the context of dynamic and extreme weather changes.