Artificial intelligence (AI) and its subfield, machine learning, have become indispensable across various industries. With the aid of low-code/no-code development platform like KNIME, understanding and applying machine learning algorithms has been simplified for various fields, including business and information systems, as these platforms reduce the complexity of necessary technical and coding knowledge. This teaching tip provides a detailed, step-by-step tutorial on applying the machine learning process using KNIME to analyze a healthcare dataset to predict which patients are at risk of diabetes by using classification methods, particularly decision trees. This teaching tip offers a practical, comprehensive, and ready-to-use resource for introducing and understanding machine learning concepts through a low-code platform (KNIME). It also provides valuable insights for practitioners and educators who seek to integrate machine learning into business and information systems curricula.