Front end for our Heart Disease Analysis and Prediction Project

A Project based on Data Mining Techniques to predict the probability of a person having Heart Disease.

Hearysis AI

Machine-Learning model of Heart-Disease Prediction Analysis and visualization.

Data Analysis project based on heart disease data provided by the University of California, Irvine

I serve as a mentor in their initiative "Mentober" - a month-long mentorship program, wherein I guide my mentee in building a strong profile and helping her in developing technical skills in Web Development & Machine Learning.

I have used the Heart Disease dataset from UCI to identify the key factors responsible for heart disease. Demo Video URL: https://youtu.be/QpFf__Gq4xQ

myPortfolio for current projects

This project aims to classify /predict the occurrence of Heart disease using Machine learning models.

heart disease diagnoses Chatbot

Analysis for the Heart Disease Dataset, by doing some features correlations, going through some quick plot visualizations, analyzing them and getting some conclusions. And then will proceed to apply several ML models to see which yields better results and finishing with Classifier models

Predict whether the presence of heart disease in the patient using several machine learning algorithms with EDA && Visualizations.

Heart Disease Classification: This project focuses on utilizing machine learning algorithms to classify heart disease based on various features. The code performs data preprocessing, feature scaling, and applies different classification algorithms.

Heart Disease Prediction - UCI Heart Disease Dataset

CardioState: Exploring Heart Health Through Hypothesis Testing and Confidence Intervals

R Shiny Dashboard for visualizing the heart disease data set

This dataset is contain different parameter information of heart disease patient, based on given feature we need to predict the patient has heart disease or not