Heart-Disease-EDA-and-Prediction
- 0 Collaborators
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
Groups
Student Developers for AI
Intel Technologies
Other
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
- pandas
- numpy
use data visualization lib. like - Matplotlib
- Seaborn
use machine learning lib like - sklearn
- scikit
Repository
https://github.com/mohammedsaket/Heart-Disease-EDA-and-Prediction-