A lightweight Machine Learning project that predicts the probability of diabetes in a patient based on medical parameters. This project uses a Logistic Regression classification model. The trained ...

This work includes two high performance recognizers. The SVM based recognizer has an accuracy of 90%. It first applies projection-based algorithm to the input image, then use a pre-trained SVM model ...