Machine Learning in R Using caret

[Kim Popetz]

Join our special guest lecturer, Olawale Awe, for a two-hour, in-person, training on Machine Learning in caret on Wednesday, October 9 from 1-3 pm at Norlin Library. This hands-on workshop is designed to introduce participants to machine learning in R using the powerful `caret` package, with a focus on practical application. We will illustrate key concepts using real-world data from the South African National Health and Nutrition Examination Survey (SANHANES), specifically focusing on the Overweight and Obesity dataset.

This workshop is ideal for data scientists, statisticians, researchers, and students who have a basic understanding of R and are interested in applying machine-learning techniques to health data. Participants should have some familiarity with R programming, though prior experience with machine learning or `caret` is not required.

 

Space is limited. Please share with those you know who might be interested!

 

 

O. Olawale Awe holds a PhD in Statistics from the University of Ibadan, Nigeria, and an MBA from Obafemi Awolowo University, Ile-Ife, Nigeria. He currently serves as the Vice President of the International Association for Statistics Education (IASE). His affiliations include being an Elected Council Member of the International Statistics Institute (ISI), Vice President of Global Statistical Engagements of the LISA 2020 Global Network, USA, and a research professor and machine learning team leader at the Statistical Learning Laboratory (SaLLy) of the Federal University of Bahia, Brazil. He has published more than 100 research papers in international and national journals and conferences, and he has also published five books and monographs. As the pioneering LISA Fellow of the LISA 2020 Global Network at the University of Colorado, Boulder, USA, he has significantly contributed to the global statistical community.