Feature Correlation with Student Education Performance

The 21st century has seen the advent of internet as well spread increasingly powerful computer technologies. One these new technologies is Artificial Intelligence and Machine Learning. These models assist in pattern recognition, task performance prediction. place where this technology can be used Educational Data Mining. This study ML on Student Performance Dataset to see what features are correlated with high student academic performance. also utilized Feature Engineering derive that represent interactions different from original dataset order conduct further analysis.This found multiple such parent relationship status, travel time between home school, among others, had a positive correlation Features past failures increasing frequency hanging out friends after school was negative However, results were inconclusive due not having enough accuracy merit analysis.