23 lines (17 loc) · 825 Bytes

Student Performance Data Analysis

This project analyzes a dataset of student academic performance to uncover insights into factors that influence scores.

Tools Used

Python
Pandas
Seaborn
Matplotlib

Objectives

Perform Exploratory Data Analysis (EDA)
Visualize trends and patterns in the data
Identify correlations between features and student performance

How to Run

Clone the repository
Run student_analysis.ipynb in Jupyter Notebook or Google Colab

Dataset

A sample student performance dataset is used. Replace it with any CSV having features like study time, parental education, etc.