This script loads a cryptocurrency dataset from a CSV file, splits it into features and labels, scales the features, and then splits the dataset into a training and testing set. He then defines a sequential neural network with three dense layers, compiles the model, trains it and evaluates it on the test set. This script is just an example, it can be adapted to your specific needs and the dataset used may be different.