Diabetes Predication

This project uses a Machine learning approach to detect whether the patient has diabetes or not using different machine learning algorithms.
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Machine Learning to predict diabetes

The objective of the dataset is to diagnostically predict if a patient has diabetes, established on definite diagnostic quantities incorporated in the dataset.

Content The datasets consists of several medical predictor variables and one target variable, Outcome. Predictor variables includes the number of pregnancies the patient has had, their BMI, insulin level, age, and so on.

Dependencies include python libraries like


Classification models used

Decision Trees
Ramdom forest
Logistic Regression
Niave bayes
Logistic Regression
Ensemble Modeling

PS: Please do not forget to drop a star if you like it!

Data source: Kaggle

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