Predicting-Heart-Disease-using-Machine-Learning

• The original data came from the Cleavland data from the UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/heart+Disease.

  There is also a version of it available on Kaggle. https://www.kaggle.com/ronitf/heart-disease-uci

• It is a Structured Data Project (Structured data is data you'd usually find in an Excel spreadsheet, pandas DataFrame or similar tabular style file.)

The libraries used are:

• Pandas for data analysis.

• NumPy for numerical operations.

• Matplotlib/seaborn for plotting or data visualization.

• Scikit-Learn for machine learning modelling and evaluation.