Diabetes and Heart Disease are diseases with an ongoing illness that generates an augmentation and variation in the human body. Various troubles occur in case diabetes stays crude and unidentified. The dull perceiving handle occurred in going to of comprehension to a decisive focus and guiding expert. In any case, the ascent in Machine Learning approaches handles this essential issue. The reason for this is to predict the presence of diabetes as well as heart disease in patients with the most outrageous exactness. In this manner, ML counts to be explicit ANN, ELM, PCA, LASSO, Ensemble learning, and SVM was applied to recognize these diseases before it is orchestrated. The accuracy of the above mentioned ML algorithms is evaluated on Diabetes and Heart Disease Datasets.
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