Analysed the performance of different Machine Learning algorithms on Coronary heart disease dataset acquired from Kaggle. Performed EDA, Data cleansing, data pre processing and feature correlation, feature selection. Implemented Logistic regression with 10 fold cross validation, Logistic regression with GridSearchCV, Random Forest, RNN and MLP

IotchulindraRai/Heart-disease-prediction-using-Ml-project with GUI

heart disease prediction model in which you can predict if a person is healthy or having a heart disease

A tool for predicting Heart Disease probability based on ML model

Predicting Heart Disease using Machine Learning🫀🤖

This is a Medical Prediction App which can be used to predict the current disease state of any human from any part of the world. This includes 3 main type of diseases - Covid-19, Diabetes, Heart Disease. Additionally it has a Medical Suggestions section which has some tips and guidelines for the ones affected by any of the disease

Heart Disease Prediction using Logistic Regression: A Machine Learning Approach for Predictive Analytics in Healthcare.

Identification system for the molecular basis of coronary heart disease powered by AI ( Artificial Intelligence ) and machine learning algorithms.

This is a machine learning project that uses various machine learning alogorithms to predict whether a patient is suffering from heart disease or not. Here I am using variour machine learning algorithms like Random Forest classifier, XGBClassifier, GaussianNB, Decision Tree Classifier, K-Nearest Neighbours and Logistic Regression.

Heart Disease Prediction with FastAPI

Heart Disease Analysis to explore, diagnose and highlight potential factors to predict the disease chance in future.

Machine Learning for Heart Disease prediction

Statistical analysis in R of a heart disease dataset by using logistic regression and random forest.

Health related machine learning projects

A heart disease prediction using deep learning

Project to predict heart diseases