Neural Networks, Deep Learning, Data Science, Algorithmic Trading, Cryptocurrency Investment.
tuner.get_best_hyperparameters(num_trials=1)[0] # Build the model with the best hyperparameters and train it best_model = tuner.hypermodel.build(best_hps) best_model.fit(X_train, y_train, epochs=20, batch_size=32, validation_split=0.2, verbose=1, class_weight=class_weights) The provided code