This project implements a classification model using Logistic Regression to predict target values based on input features. The dataset is preprocessed using techniques such as feature scaling, and the ...

Han-Ming Wu, Kernel Sliced Inverse Regression with Applications to Classification, Journal of Computational and Graphical Statistics, Vol. 17, No. 3 (Sep., 2008), pp. 590-610 ...

This project aims to predict whether an individual's annual income exceeds $50,000 based on census data, also known as the "Adult Census Income" dataset. The classification is performed using two ...

Linear regression and its variants have achieved considerable success in image classification. However, those methods still encounter two challenges when dealing with hyperspectral image (HSI) ...

Course Topics Classification and regression tree (CART) methods are a class of data mining techniques which constitute an alternative approach to classical regression. CART methods are frequently used ...