A study to detect probable heart attacks amongst people using multiple machine-learning algorithms like Decision Tree, Random Forest and SVM with HyperParameter Tuning.
The study also includes in depth comparision of the results obtained by using the three algorithms, along with the pros and cons of each one.
For more information on the methodology and procedure involved. Please refer the report attached.