Which of these is NOT a data transformation technique used in machine learning pipelines? A) Scaling B) Automatic feature selection C) Model training D) Encoding
Understand the Problem
The question is asking us to identify which option listed is not considered a data transformation technique in the context of machine learning pipelines. It requires understanding what constitutes data transformation techniques compared to processes like model training.
Answer
Model training
The final answer is Model training, as it is not a data transformation technique.
Answer for screen readers
The final answer is Model training, as it is not a data transformation technique.
More Information
Scaling, encoding, and automatic feature selection are all data preprocessing steps, while model training pertains to the model building and evaluation phase.
Tips
A common mistake is confusing data transformation techniques with subsequent steps in the machine learning pipeline, such as model training.
Sources
- Lecture 6. Data preprocessing - ML Engineering - ml-course.github.io
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