This is the code for Genetic Algorithms by @Sirajology on Youtube. In this demo code we use the MAGIC Gamma Telescope dataset to build a classifer. The classifier will train on the dataset and then be able to classify whether or not some energy is either Gamma Radiation or Hadron Radiation. Instead of guessing and checking the best ML model and hyperparameters to use, we use a genetic programming library called tpot to do that for us by trying out a bunch of them. See this link for an IPython notebook version of this code.

In this video, I explain the basics of recurrent neural networks. Then we code our own RNN in 80 lines of python (plus white-space) that predicts the sum of two binary numbers after training. I just want to start off by saying thank you to every single one of you. Thanks for watching and commenting and sticking with me as I push these videos every week. You guys are the reason I do this...