A.Tokenization

B.Principal Component Analysis (PCA)

C.One-Hot Encoding

D.Standardization

A.To evaluate the model's performance on new data

B.To train multiple models on different subsets of the data to assess generalization

C.To split the dataset into training and testing sets

D.To visualize the data distribution

A.The history of data transformation processes

B.The physical location of data storage

C.The structure of a relational database

D.The security protocols for data access

A.The process of creating synthetic data

B.The practice of keeping track of different versions of a model to maintain reproducibility

C.The process of training a model from scratch

D.The process of evaluating model performance

A.SQL (Structured Query Language)

B.JSON (JavaScript Object Notation)

C.HTML (Hypertext Markup Language)

D.CSV (Comma-Separated Values)