Student-Performance-Indicator

EDA and Feature Engineering on Student Dataset.Standard Procedure of Data Analysis is done.

This is done to understand the mentality of a student and how their performance is affected on the basis of various features like gender , ethinicity and parental level of education.

The following steps were followed :

• Univariate Analysis

• Use of basic Stats , taking care of outliers and null values.

• Feature Engineering

• Visualisation using matplotlib and Seaborn.