Predict-Heart-Disease

This notebook looks into various Python-based machine learning and data science libraries in an attempt to build a machine learning model capable of predicting whether or not someone has heart disease based on their medial attributes.

Data

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

In this notebook I've did the following:

1. Problem definition
2. Data
3. Evaluation
4. Features
5. Modelling
6. Experimentation
7. Exporting Model

Best evaluation

I got the best evaluation with LogisticRegression: 0.8852459016393442