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ABSTRACT
Diabetes is a chronic (long-lasting) health condition that affects how your body
turns food into energy. Most of the food you eat is broken down into sugar
(also called glucose) and released into your bloodstream. When your blood
sugar goes up, it signals your pancreas to release insulin. Nowadays machine
learning is applied to healthcare system where there is a chance of predicting
the disease early. The main necessity of Artificial intelligence is data. The past
dataset is collected and that dataset is used to build a machine learning
model. The necessary pre-processing techniques are applied like univariate
analysis and bivariate analysis are implemented. The data is visualised for
better understanding of the features and based on that a classification model
is built by using machine learning algorithm and comparison of algorithms are
done based on their performance metrics like accuracy, F1 score recall etc.
