Tag: Data Science
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Predicting Diabetes: Comparing Logistic Regression, SVMs, and Random Forests
While exploring Kaggle’s vast data science resources, I discovered an intriguing diabetes dataset and decided to develop a predictive model. The dataset structure is elegantly simple, featuring 8 independent variables and a target variable called Outcome, which identifies the presence or absence of diabetes. My objective is to create a robust model that can accurately…