Heart disease analysis and prediction using Machine Learning.

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

Hearysis AI

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.

Final Project of the Machine Learning I Course - Artificial Intelligence Specialization - Embedded Systems Lab - University of Buenos Aires. Data Analysis and Model Development for the UCI Heart Disease Dataset.

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

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

A machine learning model that can predict whether a patient has heart disease with an accuracy of 92%.

R Shiny Dashboard for visualizing the heart disease data set

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

myPortfolio for current projects

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

A system that predicts the risk of heart diseases in patients using information such as chest pain, cholesterol, thalassemia, exercise-induced angina, ECG, etc.

CardioState: Exploring Heart Health Through Hypothesis Testing and Confidence Intervals

Front end for our Heart Disease Analysis and Prediction Project

heart disease diagnoses Chatbot