I am currently undergoing construction and implementation of a short to medium term prediction model using a rain based dataset in order to predict future levels of rain for the next 7 days.
The issue is that the dataset contains only a limited amount of attributes such as date, rainfall in mm and location. Due to this limit, I have been unable to successfully develop a model that achieves a satisfactory level of prediction.
I am wondering what machine learning model, or steps would provide the highest level of accuracy for prediction. The code must also be implemented in python.