Superstore Sales Prediction - Data Every Day

Hi guys, welcome back to Data Every Day!
On today's episode, we are looking at a dataset of superstore product purchases and trying to predict the revenue generated from a given purchase. We will be using a TensorFlow neural network to make our predictions.
Here is a link to the Kaggle dataset:
www.kaggle.com...
And here is a link to my notebook from the video:
www.kaggle.com...
Thanks so much for watching! If you enjoyed today's episode, be sure to subscribe and hit the bell for more content!
See you all tomorrow! :)
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Patreon: / gcdatkin
LinkedIn: / gcdatkin
Twitter: / gcdatkin

[@andersonaraujo1992]

Great !! I am learning time series with you and lots of projects here.. keep going bro!! 👏👏

[@user-zf7ig8uz3g]

Great !!!!! You saved my life😀

[@karandave3301]

Were you able to improve accuracy further for this or similar time series model? Or any ideas for improving accuracy?

[@WILDxBanner]

uploaded notebook content doesn't exactly matches the video. For eg., the model list is not there in the notebook

[@AkaExcel]

Hi Gabriel! In this dataset something is wrong, did you feel it?

[@danyjr19]

Really newbe question, after all you have done, how do I get a next day prediction sales for every product_id or am I getting the wrong idea?

[@user-xq1xc7nz5b]

Hi Gabriel, your notebook is unable to see. May you fix it? Thank you!

[@gcdatkin]

Oops! I had it set to private. It should work now.