Rainfall and Daily Average Temperature Prediction using Machine Learning: A Case Study of Bangladesh
Adil Hussain,
Sajib Tripura,
Ayesha Aslam
Abstract:Heavy rains have created significant threats to human health and life. Floods and other natural disasters, which have a global impact annually, can be attributed to extended durations of intense precipitation. Accurate rainfall predictions are crucial in nations such as Bangladesh, where agriculture is the predominant occupation. The efficiency of machine learning (ML) methods is enhanced by the non-linearity of rainfall, surpassing the effectiveness of other alternative ways. Machine learning techniques show … Show more
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