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Diabetes-Prediction-IDEAS-TIH

Spring Internship 2026 – Diabetes Prediction using ML models

Diabetes Prediction – Spring Internship 2026

Project Overview

This project focuses on predicting diabetes using machine learning classification models. The Pima Indian Diabetes Dataset is used for training and evaluation.

Models Used

  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Support Vector Machine (SVM)

Evaluation Metrics

  • Accuracy
  • Precision
  • Recall
  • F1-score
  • ROC-AUC

Tools & Technologies

  • Python
  • Pandas, NumPy
  • Scikit-learn
  • Google Colab

Internship

IDEAS – Institute of Data Engineering, Analytics and Science Foundation
Spring Internship Program 2026

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Spring Internship 2026 – Diabetes Prediction using ML models

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