This project aimed to analyse and build a Machine Learning model for student performance data.
- There are 1000 students in total.
- 52% of students are female (N=518).
- Most of the student belonging from group C /group D.
- Lowest number of students belong to group A.
- For Maths, students scores range from 60-80
- For reading and writing, students scores range from 50-80
- The number of Male and Female students is almost equal.
- The number of students is higher in Group C.
- The number of students who have standard lunch is greater.
- The number of students who have not enrolled in any test preparation course is greater.
- The number of students whose parental education is “Some College” is greater followed closely by “Associate’s Degree”.
- From the above plot, it is clear that all the scores increase linearly with each other.
- Largest portion of students are from families who's parents have gone to college.
- Students who have parents that have received a high level of education tend to perform better academically.
