Abstract: Heart disease has become a major cause of death in this era. Heart disease claims the lives of about one person every minute. Because of the rapid rise of information technology, data is produced and must be reserved on a regular basis. Heart is considered to be the most important part of our body after the brain. Data analysis and machine learning are used to convert the obtained data into knowledge using a variety of techniques. Medical practitioners who are specialized in this field of heart diseases have some of their own limits, they cannot accurately predict the probability of developing heart diseases. The main goal of the research is to improve accuracy of the heart problems forecasting using the Logistic Regression model of the machine learning taking into consideration the health dataset which further classifies the patients if they have heart problems or not.

| DOI: 10.17148/IARJSET.2022.9692