[Feature Engineering, Statistical Learning Modeling] · Decision Tree Learning · Data Transformation (Logarithm, Box-Cox, Yeo-Johnson, Quantile Normalization) [Deep Learning Modeling] · Activation Function (Softmax, ReLU) · Information Bottleneck Method · Stochastic Gradient Descent (RMSProp) · Loss Function (Cross-Entropy) · Regularization (Dropout, L2 Regularization) · Normalization (Batch Normalization)
