Churn refers to the occurrence when a customer terminates their business or severs ties with a company. This issue is prevalent across various industries, including telecommunications, cable TV, and SaaS. However, companies that possess the ability to forecast churn can proactively take measures to retain valuable customers and gain a competitive advantage. This course aims to equip you with the necessary skills to develop your own customer churn models. Throughout the course, you will gain expertise in exploring and visualizing data, preparing it for modeling, utilizing machine learning to make predictions, and effectively communicating significant and actionable insights to stakeholders. By the conclusion of this course, you will have developed a strong proficiency in utilizing the pandas library for data analysis and the scikit-learn library for machine learning.