This repository contains a Jupyter Notebook focusing on exploration/analysis and prediction on the following Kaggle.com dataset: Heart Attack Analysis & Prediction Dataset.
Different methods for data visualization, variables selection, dataset pre-processing and ML prediction model selection are presented in the notebook. Tested models are:
- Decision Tree
- Random Forest
- Support Vector Machines
- Gradient Boosting
- XGBoost