Data Mining Techniques

In this project, I aimed to utilize data mining and machine learning techniques to classify individuals into normal weight and other weight classes (underweight, overweight, and obese) based on specific features. By applying a variety of classification techniques, such as K-Nearest Neighbors (KNN), Naive Bayes, Logistic Regression, Random Forest, Decision Tree, and Bagging, the goal was to determine the best-performing model for this binary classification task.