Predicting heart disease using machine learning

This project looks into using 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 medical attributes.

We're going to take the following approach:

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

1. Problem Definition

In a statement,

Given clinical parameters about a patient, can we predict whether or not they have heart disease?

Data

The original data came from the Cleavland data from the UCI Machine Learning Repository.

https://archive.ics.uci.edu/dataset/45/heart+disease

3. Evaluation

if we can reach 95% accuracy at predicting whether or not a patient has heart disease during the proof of concept, we'll pursue the project.

4. Features

This is where you'll get different information about each of the features in your data.