Predict Your Grade

  • Lim Wei Yeong (WIE190021 17206011/1)
  • Gan Jia Soon (WIE190012 17206343/1)
  • Ng Zi Xiang (WIE190035 17205360/1)
  • Ng Phoon Ken (WIE190034 17204748/1)

Direct links to

Introduction

Academic results is important for someone, especially when entering working environment. This app help to identify factor and how they affect student’s academic performance.

Problem statement/Questions proposed

  1. What are the factors that can affect grade of students?
  2. How much do these factors affect grade of the students?
  3. What is the relationship between these factors?

Possible stakeholders

  • Teachers
  • Parents
  • Students

Data Science Process

1. Data Acquisition and Data Cleaning
App
2. Exploratory Data Analysis
App

3. Feature Engineering
App
4. Building Prediction Model
Will be presented in last slide.
5. Application Development
App

Graph

5 parameters are ready to be input

  1. Population (slider input)
  2. X-axis (select input)
  3. Y-axis (select input)
  4. Facet row (select input)
  5. Facet columns (select input)


App

Prediction (Predict Academic Grade)

Features Used:

  • Age
  • Time from school to home
  • Number of past class failures
  • Extra educational support
  • Family educational support
  • Extra paid class
  • Extra curricular activity
  • Attended nursery school
  • Aims for higher education
  • Internet access
  • In romantic relationship


Prediction