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This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
Practical Application 3. Assignment 17.1. Goal is to compare the performance of the classifiers, K Nearest Neighbor, Logistic Regression, Decision Trees, and Support Vector Machines utilizing a dataset related to marketing bank products over the telephone.