In this study, we mainly use TensorFlow and Tensor-Flow Probability (TFP) libraries. TFP extends Tensor-Flow by enabling users to implement sophisticated models such as Bayesian neural networks and probabilistic layers, leveraging TensorFlow's architecture for seamless integration and execution. Together, these libraries empower a wide array of applications, from predictive analytics to enhancing decision-making processes under uncertainty.