A regression of 2 portuguese classes using bayesian statistics, Keras deep learning other ML models.
Jupyter Notebook 100.00%R 0.01%
studentoutcomepredictor's Introduction
StudentOutcomePredictor
Predicting students final grade with Keras Deep Learning and a comparison of Machine Learning Models
Understanding the data better with Bayesian Statistics
Overview
The dataset obtained from UCI Machine Learning Repository. original dataset
Two Portuguese high schools surveyed students in a Math and a Portuguese language classroom. Features such as demographic, social, home-life and past grades were collected from students directly and assumed to be accurate.
The original study Cortez and Silva, 2008 used machine learning models. This project takes the study a step further by using Keras Deep Learning.
Bayesian Statistics are used to create a deeper understanding for the impact of life-choices and life's circumstances on student performance. While it would be unethical for a school to use the ML models for admissions a look at the bayesian statistics from the collected data is ideal for educating families and students on how to improve their likelihood of success.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent