EH
Ehsan-Behzadi/A-Machine-Learning-Approach-Using-the-Pima-Indians-Diabetes-Dataset
This repository features a machine learning project utilizing the Pima Indians Diabetes Dataset to predict diabetes risk. It explores data preprocessing, model training, and evaluation using techniques such as Naive Bayes and K-Nearest Neighbors (KNN) . The aim is to highlight the impact of various health factors on diabetes prediction.
data-imbalancedata-imputationdata-preprocessingdiabetes-predictionfeature-selectiongridsearchcvk-nearest-neighboursleave-one-out-cross-validationmachine-learningmodel-validationnaive-bayes-classifieroutlier-detectionpima-indians-diabetespredictive-modelingrandom-forest-classifierrecursive-feature-eliminationstandardizationtuning-hyperparameters