In this quest, you will embark on a journey to build a recommendation system using Python, one of the most popular programming languages in the world. You will learn about different types of recommendation systems, including collaborative filtering and content-based filtering, and how to implement them using libraries such as pandas, NumPy, and scikit-learn. By the end of this quest, you will be able to apply machine learning techniques to analyze user preferences and make personalized suggestions. You will also explore real-world datasets, perform data preprocessing, and evaluate the performance of your recommendation system. This quest is perfect for those looking to enhance their data science skills and delve into the world of machine learning applications.
