/Heart-Diseases-Analysis

In this repository you will see the exploratory data analysis on heart diseases dataset. After EDA,fitting this dataset into ANN architecture

Primary LanguageJupyter NotebookMIT LicenseMIT

Heart-Diseases-Analysis

Dataset :

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4. Experiments with the Cleveland database have concentrated on simply attempting to distinguish presence (values 1,2,3,4) from absence (value 0).

The names and social security numbers of the patients were recently removed from the database, replaced with dummy values. One file has been "processed", that one containing the Cleveland database. All four unprocessed files also exist in this directory.

To see Test Costs (donated by Peter Turney), please see the folder "Costs"

Analysis Steps

Step 1:EDA (Exploratory Data Analysis
Step 2:Artificial Neural Network