In this study, various machine learning algorithms, including the minimax probability regression (MPMR), functional network (FN), convolutional neural (CNN), recurrent (RNN), and group method of data handling (GMDH) models, are proposed for estimation seismic bearing capacity factor (Nc) strip footings on sloping ground under events. To train test model, a total 1296 samples were numerically ob...