Iris Data Analysis Using Pandas in Jupyter Notebook

This notebook provides a comprehensive analysis of the Iris dataset using Pandas. The work includes:

Loading and exploring the Iris.csv dataset.

Calculating the number of different species, their names, and the number of samples per species.

Applying Feature Engineering by creating new features such as sepal ratio.

Using Pandas to explore and analyze the data in various ways.

This project is ideal for those looking to understand how to handle data using Pandas within a Jupyter Notebook.