Heart Disease Predictor Model.

To See Project Click: Heart Disease Prediction

Business Problem

Dataset Link: Heart disease CSV

This notebook 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 or pipeline.

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

Because this problem is a classification problem i used these three classification algorithms.

1. Logistic Regression algorithm. 2. KNN algorithm. 3. Random Forest Classifier Algorithm.