GitHub - Dexson-Dsouza/Diabetes-Prediction-using-Machine-Learning: To classify whether a person has diabetes, we have used Gradient Descent with Logistic Regression for part 1 of this project. The dataset was split into train(60%), test(20%) and validation(20%) sets. We have performed normalization on the dataset. In part 2, we have used a Neural Network with several layers to perform classification. We have used Relu and Sigmoid activation functions. We have also used L2 regularizers to improve the performance of the model. In part 3, we have implemented 2 separate Neural Networks; one using L2 regularizer and other using Droput.

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To classify whether a person has diabetes, we have used Gradient Descent with Logistic Regression for part 1 of this project. The dataset was split into train(60%), test(20%) and validation(20%) sets. We have performed normalization on the dataset. In part 2, we have used a Neural Network with several layers to perform classification. We have us…