This project analyzes medical factors to predict whether a patient has diabetes or not. Factors such as glucose level, number of pregnancies, skin thickness, insulin level, and BMI are found to be indicators of diabetes risk. Classification models, including logistic regression, random forest, and SVM, are used to predict diabetes with logistic regression achieving the highest accuracy.
- #machine-learning#data-science#data-analysis#classification#data-visualization#logistic-regression#random-forest
Table of contents
Pima Indian Diabetes PredictionData PreprocessingExploratory Data AnalysisCorrelation Matrix HeatmapTrain Test SplitDiabetes PredictionModel EvaluationComparing the ModelsConclusion32 Impressions