Predictive Analytics in Diabetes Care: A Machine Learning Approach

Diabetes is not only a hassle; it is one of the fast-growing ailments worldwide. Early detection and treatment are therefore, highly important in order to save lives and avoid complications later on. In the course of this study, we mentioned the potentiality of machine learning (ML) toward the prediction of diabetes. Four different ML techniques, namely Logistic Regression, Decision Trees, Random Forest, and Support Vector Machine (SVM) were analysed while coding in Python. The idea was to find out, with the help of the Pima Indians Diabetes data collection, if diabetes was predictable.