Expected duration: 1 day or less I have datasets that include wind speed and wind power of size more than 50K. Using these datasets, the task is to forecast wind speed and wind power using SVM, GP and Facebook prophet techniques. Methods are already available (I will share the paper once you agreed), here your task is to implements these methods on given datasets and improve accuracy as much as you can. I hope it will not take much time since methods already there and you just need to implement those into my datasets.
In the end, I need a complete code in Jupyter with all explanation and results and you have to abide by NDA.
NOTE: Those who have knowledge on SVM, Gaussian Process(GP), the Facebook prophet and how to use them using python are encouraged to submit a bid. Previous experience in dealing with time-series forecasting highly beneficial.
