How Does A Female’s Lifestyle Affect Her Chances of Contracting Coronary Diseases?
Demonstrated skills in Python Programming and Data Visualization
Explored how lifestyle factors such as education level, social class, diet, exercise, and smoking and drinking habits influence the likelihood of developing coronary diseases in females
Tools and Techniques: Pandas for data manipulation, Matplotlib and Seaborn for data visualization, & Analysis of existing relationships and correlations