Reinforcement Learning Web App

Please note that this is a FREE course, so the course does not cover certain topics extensivly because there is a 2 hour limit. In order for me to keep it FREE I needed to make some compromises on the depth of the content. I tried not to talk about stuff that you can find on internet for free.

Reinforcement Learning is currently highly experimental and not a lot business cases are beeing solved outside of big tech companies. Here I will show you how you can solve real stochastic problems using Reinforcement Learning. And not only code the solution from scratch but also deploy it via Web App. In the process of, we will also learn about packing our code and publishing Python libraries. One of the examples were we showcase this will be automated machine learning, where dull processes like preprocessing, hyperparameter optimisation, algorithm selection etc. will be all abstracted away and executible with a single command.