Welcome to the fifth data science challenge for Shahid Beheshti University students! In this exercise, you will delve into a real-world inspired dataset focused on the insurance industry.

Your primary goal is to **predict the 'Policy Cost'**  based on a variety of anonymized customer and policy-related features. This is a regression task, where the accuracy of your predictions will be paramount.

This competition is designed to test your skills in data cleaning, feature engineering, and traditional machine learning model building. With a substantial dataset at your disposal, you'll need to develop robust models that generalize well to unseen data. Remember to leverage the provided anonymized features effectively to extract valuable insights and build a high-performing predictive model. Good luck!