GitHub / 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.

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Topics: data-imbalance, data-imputation, data-preprocessing, diabetes-prediction, feature-selection, k-nearest-neighbours, leave-one-out-cross-validation, machine-learning, model-validation, naive-bayes-classifier, outlier-detection, pima-indians-diabetes, predictive-modeling, recursive-feature-elimination, standardization

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