A question related to the tutorial of How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow

Firstly thanks for the tutorial and explanation of How To Build a Deep Learning Model to Predict Employee Retention Using Keras and TensorFlow. This is more related to the coding part which i was trying from the tutorial .At the step of hyperparameter tuning, when fiting the model , grid_search = grid_search.fit(X_train,y_train) , its actually throwing the error as TypeError: make_classifier() missing 1 required positional argument: ‘optimizer’ Could you please guide on this error

!ref : https://www.digitalocean.com/community/tutorials/how-to-build-a-deep-learning-model-to-predict-employee-retention-using-keras-and-tensorflow