Please note that our team had several beginners so here we approached the problem with aim to learn how to train your own network and learn useful tricks on the way. Therefore we start all the way from linear model :). Think of it as 40h intro.

here is it https://github.com/valanm/datathon2018-kaufland/blob/master/Pipeline.ipynb but we will need to comment on it first.

Cleaned notebook with only the final model will follow shortly.

I always make a sample to test and prototype things, and when I am happy I let the model looks at the whole dataset. I like babysitting my models to make them both fast and accurate. This way I can build faster and more accurate models compared to standard pipelines with from tutorials 🙂

thanks for your feedback. very much appreciated.

I had those moments myself , nothing to worry about. you are on a good track just use categorical end redo it you may still get nice results. Cheers

Hi, I think you had a bug in your code.
Your first epoch gives 98.5 accuracy and stays flat. Your loss is “binary crossentropy” and it should not be.

Hi, I think you had a bug in your code.
Your first epoch gives 98.5 accuracy and stays flat. Your loss is “binary crossentropy” and it should not be.