Student Performance using ML

June 4, 2019
This Analysis will helps to organization to improve the student performance
Business Problem : Understand the Historical data and predict the academic performance of student. 1. This will help’s the originations to improve the student result 2. closely monitor the students who are in the Low-Level Grads Analytics Goals : The students are classified into three numerical intervals based on their total grade/mark. The main aim of this project is to build the predictive models using Machine learning Techniques to predict the “numerical intervals (Class)” in Unseen data Low-Level (L) Middle-Level(M) High-Level(H) Since this project is classification problem, So we use Multiclass Logistic regression Algorithms to predict the “numerical intervals (Class)” for Unseen data