Hello, I am looking for help with developing an optimal model for one of my project. It is supposed to be done experimentally, tuning hyper parameters and other pieces. The project is a timeseries regression on the London weather data. At the moment I have come to a complete stop where I am supposed to find a model that overfits to the data but I can’t seem to achieve this no matter what parameters I change. I would really appreciate someone looking at the code and help me.
#Help with python + keras model building for UG project
shy hamlet
frail rivet
Which model/algo are you using