Heart Disease Data Analysis using Python

this project focuses on analyzing a heart disease dataset using Python. I used Pandas for data cleaning and preprocessing, and Seaborn for data visualization.I performed exploratory data analysis (EDA) to identify patterns and relationships between different features such as age, cholesterol, and heart rate. The project includes clear visualizations that help understand the data and extract meaningful insights.This work demonstrates my ability to handle real-world datasets, clean data, and present it in a clear and organized way.