I am doing my internship project which is a weather forecasting. I read some research paper and some blogs about it. But I don’t have domain knowledge so I am little confused that how to start this and how which ML model works fine or do I have to use Deep Learning?
please, can anyone help me?
I would suggest build hypothesis based on your knowledge - for example, what can weather depend on? If you need to do research / read up, read about it - everything is just one search away on internet.
I personally think Time Series / Regression algorithms would work best here. Deep learning most likely would not unless you are dealing with millions of data points.