feature engineering on temporal data date-based features time-based features feature engineering on image data image metadata features raw image and channel pixels grayscale image pixels binning image intensity distribution image aggregation statistics edge detection object detection localized feature extraction visual bag of words model automated feature engineering with deep learning feature scaling standardized scaling min-max scaling robust scaling feature selection threshold-based methods statistical methods recursive feature elimination model-based selection dimensionality reduction feature extraction with principal component analysis summary # buildingtuningand deploying models building models odel types learning model model building examples