Scores

This is web app that predicts the performances of students in a mathematics test.

Technologies used:

1. Python:
   • Django (templates, ORM)
2. JavaScript (Vanila):
   • Ajax
3. Html:
4. css

Machine Learning

packages used:

1. Python:
   • Sklearn
   • numpy
   • pandas

Data:

1. Student Performance

Data Source:

Machine Learning Repository

Model Used:

The Linear Regression Model was used for this work.

Evaluation Metrics:

Coefficient of Determination was used to evaluate the Machine learning model.

Limitation of the Project:

The project was aimed at showing how I can integrate my ML skills with my web development skills and may not contain any sophistication as may be observed in either fields.