Findings and suggestions deck: https://docs.google.com/presentation/d/1ED9jMK3NH2YyIRA9qGVt5tLHb6pDBnodbX9PIbpxQKw/edit?usp=sharing

• Thorough EDA consisting of logistic model and random forest to predict student performance
• Utilizing clustering to uncover heirarchical relationships and PCA for better understanding of variance explained across feature space

This is an educational data set which is collected from learning management system (LMS) called Kalboard 360. Kalboard 360 is a multi-agent LMS, which has been designed to facilitate learning through the use of leading­edge technology. Such system provides users with a synchronous access to educational resources from any device with Internet connection.

Link to dataset on Kaggle: https://www.kaggle.com/aljarah/xAPI-Edu-Data