Explore a 25-minute conference talk from Data Science Conference Europe 2022 that delves into the application of machine learning algorithms for predicting student academic success in higher education. Learn how predictive models analyze data from 400 IT students across three generations to identify key factors influencing university performance. Discover insights into generational differences, the impact of student responsibility and class attendance on academic outcomes, and the significant potential of machine learning in developing effective predictive models for educational institutions. Through detailed analysis including first grade statements, correlation studies, and sensitivity analysis results, gain comprehensive understanding of how data science can be leveraged to support early intervention strategies for at-risk students and ultimately enhance the quality of higher education.