A semantic approach towards student performance prediction using data mining techniques.

This Python program prompts users for four exam scores, sorts these scores, calculates the average excluding the lowest score, and assigns a letter grade based on the adjusted average. It is designed to help students visualize their performance across multiple exams, highlighting their highest, lowest, and average scores.

Student performance in exams prediction and analysis using python

Engineered the Naive Bayes Algorithm from scratch. Utilized the student performance dataset from the UCI ML repo.

Predicting student GPA using lifestyle factors like study habits, sleep, and stress levels. A machine learning model built to help students and educators understand the impact of lifestyle choices on academic performance.

Modelo de clasificación para predecir el desempeño de estudiantes en las Pruebas Saber Pro en Colombia. Incluye análisis exploratorio de datos, preprocesamiento y modelos de machine learning.

analyse student exam performance using nonparametric statistical methods

This repository contains the code lines and raw data of my Marketing-based capstone research: Analysis of student satisfaction and the progress in their performance at an IELTS center in Vietnam. I collected real data from McIELTS center in Ho Chi Minh City.

This repository hosts a study analyzing the impact of mental health on students' academic performance, specifically looking at GPA correlations. Using Python for statistical analysis, it challenges prior research by demonstrating no negative correlation between mental health issues and academic success.

Academic Insights provides interactive academic statistics and analyses for students and educators, utilizing modern web technologies. It serves as an essential tool for monitoring educational performance and progress.

Implementaion of Random Forest, CNN and FCNN on 'Student Performance Factors' dataset

This project aims to develop a Student Grade and Academic Performance Tracking System. For both teachers and students, keeping track of and controlling academic performance in the fast-paced world of education is essential. Grading can be done faster, student development can be tracked.