This is the continuation of the project on predicting mortality rate with machine learning and PyCaret. The link for the part one can be found below: https://coderlegion.com/307/machine-learning-project-hospital-mortality-prediction-using-machine-l...

Why is safe drinking water important? Access to safe drinking water is essential to health, a basic human right, and a component of effective policy for health protection. This is important as a health and development issue at a national, regional, ...

In continuation of the data science project on heart attack risk predictor with eval machine learning, we would dive further into different models starting with random forest and then fine tune the best model using eval machine learning. What is eva...

In continuation of the data science project on water drinking potability prediction using machine learning and H2O auto machine learning. What is water potability? Water potability refers to the quality of water being safe to drink or potable. Por...

The main aim of this project is to predict the mortality rate i.e. whether a person will live or not with the help of different machine learning models and pycaret library. Motivation The predictors of in-hospital mortality for intensive care unit...

The aim of this project is to predict whether a person is having a risk of heart attack or not, using automated machine learning techniques. What is a heart attack? A heart Attack occurs when one or more of coronary arteries becomes blocked. Overt...