A company that manufactures mobile devices wants to determine and calibrate the appropriate sales price for its devices. The company is collecting the relevant data and is determining data features that it can use to train machine learning (ML) models. There are more than 1,000 features, and the company wants to determine the primary features that contribute to the sales price.
Which techniques should the company use for feature selection? (Choose three.)

A. Data scaling with standardization and normalization
B. Correlation plot with heat maps
C. Data binning
D. Univariate selection
E. Feature importance with a tree-based classifier
F. Data augmentation