This is the last video in a series, and this is where we actually start building neural networks. I start with setting up Keras, talk a little bit about how you may deal with missing data, and then graduate to building neural networks. I cover 3 different types of outcome variables, continuous, binary, and multi-categorical. I only discuss continuous predictor variables in the book and video, but you can handle categorical predictors by one-hot encoding them as we do with categorical outcome variables. The book can be found at: https://www.statswithr.com/neural-networks-with-keras-in-r-a-quickstart-guide.