Heart Disease Dataset Analysis & Classification using ML models such as linear, support vector machine, k-means, k-nearest neighbors and logistic regression.
MIT License
Heart Disease Dataset Analysis & Classification using Machine Learning models such as linear regression, support vector machine, k-means, k-nearest neighbors and logistic regression to predict cardiac diseases.
This branch contains all files for both branches heartD-1 & heartD-2
Machine Learning with different Regressions on different Dataset
Branch heartD-1 -
HD_Linear-Reg.ipynb: Jupyter Notebook file with python code.
Heart Disease.csv: Dataset of Heart Disease in which Machine Learning was performed.
heartD-1_singlecodefile.py: Single .py file which contains all python codes from notebook file (for easy copying of codes).
Branch heartD-2 -
HD2_Logistic,KNN,SVM-Reg.ipynb: Jupyter Notebook file with python code.
heart disease classification dataset.csv: Dataset of Heart Disease in which Machine Learning was performed.
heartD-2_singlecodefile.py: Single .py file which contains all python codes from notebook file (for easy copying of codes).