Students’ Performance Prediction Using Machine Learning Approach

The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

Working on a simple linear regression model for predicting students' exam scores. Using a dataset with features like study time, family size, and parental backgrounds. This work is for personal training and educational purposes.

Dead Simple Result Analysis for VTU Engineering Students

GradeGuru is ML-powered grade predictor to forecast student exam performance. Input student information and get accurate grade predictions for proactive academic planning. Enhance student success and academic outcomes with GradeGuru.

This project understands how the student's performance (test scores) is affected by other variables such as Gender, Ethnicity, Parental level of education, Lunch and Test preparation course.

Using Machine learning to predict a student final grade

A machine learning project aimed at predicting student performance using various ML algorithms. Features data preprocessing, model training, and evaluation. Ideal for educational data analysis and academic research.

This project predicts students' math scores using machine learning and Flask for real-time predictions.

AWS CICD Project

This repository is made by RENZ DEXTER M. PERCI for the subject CSST 104, ADVANCE MACHINE LEARNING