This paper predicts whether it will rain the next day or not in Australia. This paper compares 4 machine learning algorithms namely Random Forest Classifier, XGBoost, Light GBM and Logistic Regression models by training and testing them with the data set. The XGBoost Model performed the best when compared to Random Forest Classifier, Logistic Regression and LightGBM. XGBoost produced an accuracy of 94.03%. The models could have performed better if the date was treated as a cyclic continuous feature because the weather itself is cyclic which shows a similar trend during the same seasons.