Time Series Forecasting using XGBoost | Facebook Prophet | HoltWinters, which algorithm wins?

[@alikayadibi9227]

hi bro links in the description are not correct

[@Neuron_Lab]

Thank you for flagging this out! For some reason KZbin doesnot allow to attach links in the discreption when the channel is still new! Sorry for that! I am copyting the link to GitHub here, hope it works, otherwise please leave your email and will send it right away: github.com/NeuronalLab/Time_Series_Forecasting-in-Python

[@TheSerbes]

I want to make parameter selection before making future predictions in multivariate hourly time series. I can do it using xgboost in the video, but is there a model that can do it by trying the variables that increase the prediction the most instead of feature importance. For example, consider the variables x1,x4,x7 that give the highest prediction power. I am trying to make time series with LStm.

[@LindaWalker-n1n]

Haley Manors