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How would you write a Bash script to automate the process of cleaning and preprocessing data files before feeding them into a machine learning model?

I would create a Bash script that checks for missing values, removes duplicates, and normalizes data formats. Using tools like awk, sed, and grep, I can efficiently handle large datasets…

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How would you write a Bash script to automate the process of cleaning and preprocessing data files before feeding them into a machine learning model?

COVER // HOW WOULD YOU WRITE A BASH SCRIPT TO AUTOMATE THE PROCESS OF CLEANING AND PREPROCESSING DATA FILES BEFORE FEEDING THEM INTO A MACHINE LEARNING MODEL?

I would create a Bash script that checks for missing values, removes duplicates, and normalizes data formats. Using tools like awk, sed, and grep, I can efficiently handle large datasets and ensure they are ready for machine learning input.

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