Data Science and Machine Learning for hurricane forecasting

This paper demonstrates the importance of Data Science techniques within the Natural Sciences sector,

more specifically, within the area of climate research such as global warming and hurricane development.

During times of a continued increase in global temperatures, it more important

than ever to further improve today's forecasting and prediction methods. Two possible Data Science approaches

are being demonstrated and proveen to add value to the traditional statistics based forecasting methods.