Heart-Disease-EDA-and-Prediction

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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. We use various data visualization lib like matplotlib, seaborn etc. and use Naive Bayes and SVM to Predict the target value. the highest accuracy is 90.16% ...learn more

Project status: Published/In Market

Artificial Intelligence

Groups
Student Developers for AI

Intel Technologies
Other

Code Samples [1]

Overview / Usage

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.

Methodology / Approach

Data Analysis
Data Visualization
predicton Modeling

Technologies Used

use data analysis lib.like

  1. pandas
  2. numpy
    use data visualization lib. like
  3. Matplotlib
  4. Seaborn
    use machine learning lib like
  5. sklearn
  6. scikit

Repository

https://github.com/mohammedsaket/Heart-Disease-EDA-and-Prediction-

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