Sleep Analysis Using Machine Learning
Kevin Liza Alex, Gloriya Mathew · Zenodo (CERN European Organization for Nuclear Research) · 2022
Abstract—This paper analyses human sleep and evaluates how various factors affect the sleep a human being. For every single human being sleep is an essential factor. The lack of adequate sleep leads to various health issues. Using Machine learning technique with the help of linear regression algorithm, the model predicts whether the human being is having enough sleep based on the various factors that affects the quality of sleep.