Predictive Analytics with TensorFlow 7.3:Using Multilayer Perceptrons for Predictive Analytics

The video tutorial covers predictive analytics using a bank marketing dataset. It explains the dataset's structure, attributes, and preprocessing steps required for machine learning models. The tutorial then demonstrates implementing a Multi-Layer Perceptron (MLP) using TensorFlow, including data normalization, hyperparameter tuning, and model training. The video concludes with evaluating the model's performance and discussing potential improvements.

What parameters are defined for training the MLP model?

Discuss the role of the Adam optimizer in the training process of the MLP.

What is the expected classification accuracy of the MLP model after training?

What are the next steps after training the MLP model as mentioned in the video?