To understand the how the student's performance (test scores) is affected by the other variables (Gender, Ethnicity, Parental level of education, Lunch, Test preparation course)
Jupyter Notebook
EDA_StudentPerformance_MLproject
Objective of this Analysis : -
To understand the how the student's performance (test scores) is affected by the other
variables(Gender,Ethnicity,Parental level of education, Lunch, Test preparation course)
Problem Statement:-
gender : Gender of the student
race/ethnicity : Race of the Student As Group A/B/C
parental level of education : What is the education Qualification of Students Parent
lunch : Whether the lunch is Standard type/Free lunch or Some discounted lunch
test preparation course : Whether Student has Taken or not and Completed
math score : Scores in Maths
reading score : Scores in Reading
writing score : Scores in Writing
What to do in Exploratory Data Analysis:-
1)To Analyse insights in the dataset.
2)To understand the connection between the variables and to uncover the underlying structure
3)To extract the important Variables.
4)To test the underlying assumptions.
5)Provide Insights with Suitable Graphs and Visualizations.
6)Write all your inferences with supporting Analysis and Visualizations.