mishika12/classification-predicting_heart_disease_using_treemethods

Predicting the likelihood of patient to be at the risk of a heart disease

Predicting the presence of heart disease in patients using Tree Method Machine Learning Algorithms

Problem Statement

The analysis aims to explore the various factors that help in providing information about the risk of patient developing a heart disease.

Methodology

In addition to this analysis, the project aims to develop a predictive model that is able to classify whether a patient is at risk of heart disease or not using tree method algorithms like Decision trees and Random Forest. The model is then tuned further by choosing the best hyperparameters.