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An analysis of cycling counts in Auckland in relation to the weather
Pleas follow this Jupyter Notebook:
hi , i have the question about the model design and apply.
i am interest about the add_regression factor in Prophet, may i like i can use any other feature included in the Prophet model to predict the future result like others regression model such as Xgboost?
As i have some history data and feature of each product, and i want to predict the future sales of others product via this model, do you think this make sense and result will be available?
looking forward for your feedback and instructions. thanks!
hey, thanks for this excellent notebook!
question1: how can you use future values of weather when forecasting? isn't that cheating? or is it an an average forecast according to the day in the year?
question2: why are you sufficing for a single test set and not running some sort of cross-validation, on several train/test splits? can't it be that you're drawing conclusions on an overfit?
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