İklim Değişikliği Uyumu için Makina Öğrenmesi Algoritmaları ile Yağış Tahmini

Throughout history, the water has been main affection to choose settlement for living beings and civilizations. Indeed, there are many advanteges be closer basins such as less transportation needs, wealthy crops, energy savings delivery of water. However, some disadvantegous well flooding, erosions. Therefore, it an aim accurate prediction precipitaion due taking necessary measures before any hazardous events. In this study, precipitation is investigated by implementing several machine learning algorithm in Python. The data used study two distict cirites Turkey. results show that random forest regression performs more than other models, which present study. Moreover, next 4 years illustrated should expected rainfall stored either ground directing green areas or harvesting dry seasons. While climate change occurs dramatically changes wet seasons duration, amount will help us adapt gently.