In this quest, you will delve into the world of recommendation systems, a vital component in many modern applications, from e-commerce to media streaming. This intermediate-level quest will guide you through the process of building your own recommendation system using Python. You will learn about different types of recommendation systems, including collaborative filtering and content-based filtering. The quest will cover data collection, data preprocessing, model building, evaluation metrics, and deployment strategies. By the end of this journey, you will not only have a functional recommendation system but also a solid understanding of the algorithms and techniques behind them, empowering you to enhance user experiences across various platforms.
