Example project for data analysis and modeling focused on heart disease detection using the heart.csv dataset and a Jupyter notebook (heart_desease.ipynb).
The main goal is to perform Exploratory Data Analysis (EDA), preprocessing, training, and evaluation of classification models to predict the presence of heart disease.
- Load and overview of
heart.csv. - Data cleaning and handling of missing values.
- Exploratory analysis (visualizations and correlations).
- Data preparation (scaling, encoding, train/test split).
- Model training and evaluation (e.g., Logistic Regression, Random Forest).
- Confusion matrices, ROC curves, and classification metrics.
Maintained by @martinp95
Licensed under the MIT License.