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Deep Learning

Diabetes Prediction using Neural Networks

Designing and implementing a basic neural network to predict diabetes onset.

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Project Overview

A hands-on project to build a simple neural network from scratch or using Keras to classify diabetes risk based on medical parameters.

Technologies Used

PythonKerasNeural Networks

Methodology

  1. 1Data preprocessing for medical datasets (e.g., Pima Indians Diabetes).
  2. 2Defining input, hidden, and output layers for binary classification.
  3. 3Training the neural network with backpropagation and optimizers.
  4. 4Evaluating model performance using accuracy, precision, and recall.

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