Data Preprocessing and Augmentation
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Summary of the Data Preprocessing and Augmentation
TestnHire’s Data Preprocessing and Augmentation test evaluates a candidate’s proficiency in preparing raw data for machine learning and enhancing datasets through augmentation techniques. It assesses practical knowledge of data cleaning, normalization, encoding, augmentation strategies, and best practices for improving model performance and generalization.
Covered Skills
Data cleaning and missing value handling
Normalization, standardization, and scaling
Encoding techniques (One-hot, Label Encoding)
Image/text/audio data augmentation
Noise injection and synthetic data generation
Preprocessing for supervised/unsupervised learning
About the Data Preprocessing and Augmentation Test
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