In this project, the objective is to predict whether the person has Diabetes or not based on various features suach as :
‣ Pregnancies
‣ Glucose
‣ BloodPressure
‣ SkinThickness
‣ Insulin
‣ BMI
‣ DiabetesPedigreeFunction
‣ Age
The data set that has been used in this project has been taken from the kaggle. "This dataset is originally from the National Institute of Diabetes and Digestive and Kidney Diseases. The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset. Several constraints were placed on the selection of these instances from a larger database. In particular, all patients here are females at least 21 years old of Pima Indian heritage." and used a simple random forest classifier.
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video.webm
This Project Is Deployed In Heroku : https://diabetes-prediction-by-vamshi.herokuapp.com/
I'm a Data Scientist / Machine Learning Engineer
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