Application of Machine Learning Algorithms for Rainfall Forecasting in KwaZulu Natal Province, South Africa

Researcher:  Jeremiah Ogunniyi, Sol Plaatje University
Supervisor:  Dr Ibidun Obagbuwa , Sol Plaatje University

This study applied three machine learning algorithms namely Linear Regression (LR), Random Forest (RF), and Support Vector Machine (SVM) to predict precipitation in KwaZulu Natal Province, South Africa. The result shows that SVM had the best performance followed by RF and finally LR.