Predicting Students' Course Success Using Machine Learning Approach at CAIR Annual Conference
Utilizing a machine learning approach, Amanda Bain, Tanner Carollo, Akira Kanatsu, and their team present findings on predicting students' course success at the CAIR 2018 Annual Conference. The research focuses on data analysis, model training, and the impact on retention and graduation rates, offer
0 views • 31 slides
Insights from CAIR Annual Meeting and Data Analytics Dashboards
Images and descriptions from presentations at the CAIR Annual Meeting in November 2015, focusing on topics like data quality, strategic analytics, and collaborative data sandbox for researchers. Emphasis on sharing, collaboration, and talent development in the field of BI/Analytics and IR Reporting/
0 views • 6 slides