Demand Forecasting with Keras Convolution Neural Networks

[@PicaPauDiablo1]

This is great as always.

[@antaresd1]

I really thank you for your video, very informative. I just have a question regarding the train_test_split you used to separate train from the est set, if we are working with time series, this function will randomize the sequential order of the data, so I think we should not use this function, am I correct? In advance I thank you.

[@andrewh5640]

Looking forward to expanding this work going forward

[@yogendrashinde473]

Dear Sir - Can you please guide me on using Transfer Learning in Timeseries. How this CNN model can be used to complete the transfer learning.

[@warssup]

Hey Jeff since we are speaking about time series, I was wondering if you could show how to handle scenarios were the time sequences for a NN are not having the equal length. I know I accomplished this once however I know it was a pain in the neck and so some people probably would find this helpful. Also, do you consider to include Transformers in your course/in your channel? I yet did not have time to work into that topic but heard they might be quite powerful, also regarding time series.

[@weiyuquan2425]

Hi Sir, thanks for the video.

[@thomasmartin9599]

Pytorch would be awesome!

[@juuuo1074]

Thank you sir! can you please make more videos about CNN for demand forecasting? like step by step and their formulas + algorithm? i want to learn it for my thesis. Thank you anyway sir :D

[@HeatonResearch]

Thanks, it is on my list

[@maximinmaster7511]

Thank you