Project

Diabetes Prediction Model

Overview

In this project, I constructed a diabetes detection model using logistic regression, a machine learning algorithm, in Python. Employing Pandas for data handling and scikit-learn for model training and evaluation, I utilized a dataset from the National Institute of Diabetes and Digestive and Kidney Diseases. By analyzing diagnostic measurements, the model predicts the likelihood of a patient having diabetes. The model has a 75% prediction accuracy.

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