Answered

Which of the following are reasons to do data pre-processing?

Select all that apply:
- It will remove errors from manual data entry.
- It will increase your model performance.
- It will enable you to perform inference on the data.
- It will enable you to extract information easier and faster from different formats.
- It will enable you to transform messy data files to a shareable format (SQL table, CSV file, etc.).



Answer :

GinnyAnswer

Final answer:

Data pre-processing is crucial for cleaning data, enhancing model performance, and transforming data into a shareable format.


Explanation:

Data pre-processing is essential for several reasons:

  1. It will remove errors from manual data entry: Data pre-processing helps in identifying and correcting errors in manually entered data, ensuring accuracy.
  2. It will increase your model performance: By preparing and cleaning the data, pre-processing enhances the performance and effectiveness of machine learning models.
  3. It will enable you to transform messy data files to a shareable format (SQL table, CSV file, etc.): Pre-processing allows for converting raw data into structured formats that are easier to share and work with.

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