Fingerprint to Zone Classification Used libraries pandas numpy matplotlib sklearn keras with tensorflow backend Steps loading data from csv shuffle data as input data has dictionary of features, we need to transform it to feature columns scaling features to (0,1) as its multi-class classification problem, we need to use one-hot encoding to transform labels splitting data into train, validation and test data sets defining and training simple NN with 1 hidden layer of 10 neurons using keras defining and training 2 more NN (one with neurons in hidden layer and one with more layers) comparing performance of all 3 models providing results, and showing predictions of the best model