The Neural Networks section show 3 types of networks. But the practice code does not specify the architecture of the networks… Is the code not really doing neural networks and it’s only doing binary classification using sigmoid?
The models are created (and stored in a list) by this line of code:
You can find the build_models() function in the utils.py file. It’s available from the “File → Open” menu
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Thank you very much… Just unraveled the puzzle me. 
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I want to ask also from this section how can I plot target vs model values?
What type of plot would be useful to present this data?
The dataset isn’t sorted, so a line chart would not be very useful.
Do you want some sort of statistical analysis?