ji5225 / EDA_StudentPerformance_MLproject

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)

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.