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<speak> Hello, <break strength="weak"/>welcome to this lesson on predicting diabetes based on diagnostic measures. <break strength="x-strong"/> Today we are going to predict diabetes based on <break strength="weak"/>diagnostic measures of a patient. <break strength="x-strong"/>This data set was originally from the National Institute of Diabetes and Digestive and Kidney Diseases <break strength="weak"/>N I D D K. <break strength="x-strong"/> N I D D K conducts and supports research on many of the most common, costly, and chronic conditions to improve health.<break strength="x-strong"/> One in six people with diabetes in the world is from India. <break strength="x-strong"/> The numbers place the country among the top ten countries for people with diabetes. <break strength="strong"/>And India is at number two<break strength="strong"/> with an estimated 77 million people with diabetes, <break strength="strong"/>and china leads at number one <break strength="strong"/>with over 160 million people with diabetes.<break strength="x-strong"/> The objective of the data set is<break strength="weak"/> to predict whether or not a patient has diabetes.<break strength="x-strong"/> We predict based on diagnostic measurements included in the dataset.<break strength="x-strong"/> Several constraints were placed on the selection of these instances from a big database.<break strength="strong"/> In particular, all patients here are <break strength="weak"/>females <break strength="weak"/>at least 21 years old of Pima Indian heritage.<break strength="x-strong"/> The datasets consist of several medical predictor variables<break strength="strong"/> and one target variable, Outcome. <break strength="x-strong"/> Predictor variables include <break strength="weak"/>the number of pregnancies the patient has had, <break strength="strong"/>their B M I,<break strength="strong"/> insulin level, <break strength="strong"/>age,<break strength="strong"/> blood pressure <break strength="strong"/>and so on.<break strength="x-strong"/> Can you build a machine learning model to accurately predict <break strength="strong"/>whether the patients have diabetes or not?<break strength="x-strong"/> Yes. <break strength="weak"/>By using these health records,<break strength="weak"/> we will try to build a machine learning model <break strength="strong"/>to predict whether a person has diabetes or not <break strength="x-strong"/> </speak>