Data Visualization and Analysis Project This repository contains scripts for data analysis, machine learning modeling, and data visualization using Matplotlib and Seaborn.

Project Structure Dateset/ Student.xlsx: The primary dataset used for analysis.

Machine Learning/ Example.py: Basic machine learning examples.

LinearRegressionModel.py: Implementation of a linear regression model.

MathematicalModel.txt: Documentation regarding the mathematical foundation of the models.

VisualizeRegressionLine.py: Script to visualize the regression line.

Matplotlib Graph/ Scripts for creating standard visualizations using the Matplotlib library:

BarChart.py: Generates bar charts.

Histogram.py: Generates histograms.

LinePlot.py: Generates line plots.

PieChart.py: Generates pie charts.

Seaborn Graph/ Scripts for creating advanced statistical visualizations using the Seaborn library:

BorPlot.py: Generates bar plots (Note: Assuming 'BorPlot' refers to Bar Plot).

Heatmap.py: Generates heatmaps.

PairPlot.py: Generates pair plots.

RegressionPlot.py: Generates regression plots.

ScatterPlot.py: Generates scatter plots.

Requirements Python

Matplotlib

Seaborn

Pandas (for handling the Excel dataset)

Scikit-learn (for machine learning models)