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Student Data Analysis using NumPy

Overview

This is a beginner-level Python project that performs statistical analysis on student data using NumPy. It covers essential concepts required for Data Science and Machine Learning.

Features

Basic Statistics: Mean, Median, Mode

Spread Analysis

Range, Variance, Standard Deviation

Outlier Detection

Using IQR (Interquartile Range), Correlation Analysis, Relationship between study hours and marks, Data Scaling, Z-score (Standardization), Min-Max Normalization, ##Technologies Used Python, NumPy

How to Run

Install NumPy: pip install numpy- Run the Python file: python main.py- Sample Output- Mean, Median, Mode Variance & Standard Deviation, Outliers, Correlation value, Scaled data

Learning Outcomes

Understanding core statistics concepts, Implementing statistical formulas in Python, Data preprocessing for Machine Learning

Author

Dikshit Sharma

About

Beginner-friendly Python project to perform statistical analysis (mean, median, outliers, correlation, and data scaling) using NumPy.

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