Project information

• Category: Python, Tableau
• Model Type: Multiple
• Project Date: 24 April, 2024
• Project Link: Github

Tested numerous models against the Heart Attack dataset including Logistic Regression, Gaussian Naive Bayes, Bernoulli Naive Bayes, Support Vector Machine (SVM), Random Forest, K Nearest Neighbors (KNN), and X Gradient Boosting (XGBoost). Achieved a maximum accuracy of ​​91.80% using a Support Vector Machine model. Used Tableau to build a dashboard from scratch that can show incidents of cancer in different groups, and the causes that are most likely to contribute to a positive diagnosis. Prepared a data story and included it in the Github and Tableau documentation.