An Interactive Educational app that kept track of student grades, contact information, classes and account balances. Think if Blackboard met WebAdvisor.

Performing EDA and creating regression model to predict students final grades.

The work I did in creating and running queries on a data warehouse based on students grades

Student Grade System With Javascript

Application for returning graded student assignments efficiently and with discretion

Student Performance Tracker

Data Mining at UCSB with Professor Sang Oh (Fall 2016)

Drapery Project. Written in pure PHP

Model building to predict various measures of student success in college courses

The objective is to create an application for the management of the student's courses. The student's personal data is the name, last name and code. The student can only take 5 courses in the semester. Each course has a name, a code and the number of credits. At the end of the course, a grade is given to the student; this will be between 1.5 and …

Personal project to use what I've studied on machine learning so far to make, test and refine my own model for a dataset on student grades.

script for simulation of a Student gradebook & statistical calculation of class averages.

A simple CRUD (Create, Read, Update, Delete), full-stack web application to create, read, update, and delete student grades

gradeBot is a web application developed to create a more modernized way of keeping track of student grades from a teacher, administrator, and even student perspective.

This repository consists of an effective deep learning model to predict a student's grade point average of a particular institution

A simple management system for the students of a school. You can: 1) Add new students 2) Search for specific ones 3) Search for them using their grades 4) See all the records of the students in order.

🇵🇸 PalTaqdeer is an AI-Driven Student Success Forecaster. Was developed for Hackathon Google Launchpad, data analysis techniques, Linear regression model, and Flask for the web 🇵🇸

Given a dataset containing attribute of 396 Portuguese students where using the features available from dataset and define classification algorithms to identify whether the student performs good in final grade exam, also to evaluate different machine learning models on the dataset.