Part 2 - Machine Learning Models Integration

This release introduces the integration of machine learning models for the Heart Failure Prediction project.

ML Models Integrated:

XGBoost (best-performing model with 92% accuracy).
Logistic Regression and Neural Networks are also implemented for comparative analysis.

Code Updates:

Model training, testing, and evaluation scripts included.
Feature importance analysis added to help explain predictions.

Part 1 Learning Outcomes

• Work through common problems or challenges a team encounters when collaborating using Git and GitHub, including merge conflicts.
• Understand your business case and dataset.
• Perform investigative analysis on our dataset with contributions from multiple team members.