Table of Contents Introduction According to the World Health Organisation, cardiovascular disease is one of the leading causes of death, taking an estimated 19.8 million people a year globally in 2022 [1]. This estimate represents approximately 32% of all global deaths. Because of the difficulty involved in diagnosing cardiovascular disease, they have become a silent
In this project, I dive into the practical world of time series analysis to forecast sales and demand—a crucial skill in today’s data-driven business environment. By working with real sales data from Nielsen BookScan, I have the opportunity to bridge the gap between theory and real-world application. My goal is to turn historical data into
Student retention is critical for educational institutions, impacting financial sustainability andacademic success. High dropout rates can lead to revenue losses and reputational damage.Study Group, a global education provider, aims to enhance student success by identifying atrisk students early and implementing proactive interventions. This study applies supervisedmachine learning techniques to predict dropout risks, enabling Study Group