Heart Disease ML Analysis

This project focuses on analyzing heart disease data using machine-learning techniques. It includes:

• Exploratory Data Analysis
• Model Building with Decision Trees, Random Forest, and Ensemble Models
• Clustering with k-means
• Dimensionality Reduction using PCA

How to Use

• Download the notebook (Heart_Disease_ML.ipynb) and open it in Jupyter.
• Alternatively, view the PDF file directly (heart_disease_ml.pdf).

Data Source

The dataset is sourced from Kaggle.