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Diabetes Prediction using Deep Learning

A simple diabetes prediction model built using TensorFlow/Keras with a 62% accurate prediction.

Dataset

  • Pima Indians Diabetes Dataset

Technologies Used

  • Python
  • TensorFlow/Keras
  • NumPy
  • Pandas

Files

  • dltraining.py - Trains the model and saves it.
  • diabetesprediction.py - Loads the saved model and predicts diabetes.
  • model.json - Model architecture.
  • model.weights.h5 - Trained weights.

How to Run

  1. Install dependencies
pip install -r requirements.txt
  1. Train the model
python dltraining.py
  1. Run prediction
python diabetesprediction.py

About

Trained a deep neural network using TensorFlow/Keras on the Pima Indians Diabetes Dataset to predict diabetes from patient health parameters . Includes model training, evaluation, serialization, and inference using saved model weights.

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