students-performance

Predict Students Dropout and Academic Success Using Machine Learning Algorithms

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

🎓 Leveraging for containerization and CI/CD pipelines. It includes code and configuration files for seamless development and deployment processes.

Exploratory Data Analysis (EDA) of student performance using Python, Pandas, NumPy, Matplotlib, and Seaborn.

Analyse performance of students on the basis of their personal life style, studying style, family related, educational environment satisfaction, students grades using ML model

TDT4173 project

To understand the how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course).

A Student Result Management System

A Student Performance Prediction and Management System built using React and machine learning.

This project analyzes student performance data to evaluate whether test preparation courses have a measurable impact on math scores. It involves data cleaning, EDA, visualizations, and hypothesis testing using Python libraries.

In reality, many students, particularly those from underfunded backgrounds, face significant financial constraints that can compromise their ability to focus on their studies and pursue research endeavors.

Python data analysis and prediction project on students habits and exam performance

StudyCore is a beautiful, modern, and fully offline Engineering Study Tracker. Track daily tasks, set weekly goals, plan your month, manage subjects, monitor skill growth, and analyze your performance with rich visualizations — all in a sleek cyber-tech interface.

AI-powered web app that predicts student performance using machine learning.

Analytical study exploring how demographic, behavioral, and academic variables impact student performance.

Three-part student data analysis project covering data cleaning and column renaming, feature engineering with total score calculation, and hypothesis testing to check if studying 10+ hours impacts math scores.

AI-powered teacher assistant that monitors student focus and engagement in real-time

Calculate your SGPA and CGPA in seconds, for any university's grading scale.

Exploratory Data Analysis on Students Performance dataset using Python

Using data to understanding student performance in schools considering factors such as parental level of education, gender, lunch type and test preparation course.