/Heart-Failure-Prediction

Leveraging machine learning techniques to predict the likelihood of heart failure in patients based on a comprehensive dataset of patient information sourced from Kaggle.

Primary LanguagePython

Heart Failure Prediction

A logistic regression model

Required Files:

Code file: 'Heart Failure Prediction.py' OR 'Heart Failure Prediction.ipynb'

Required csv file: 'heart_failure_clinical_records_dataset.csv'

Dependencies:

pandas: Data manipulation and analysis.

numpy: Numerical operations.

seaborn: Data visualization

sklearn: Machine learning tools

matplotlib: Plotting and visualization.

shap: SHapley Additive exPlanations for model interpretability.