What are some effective data validation techniques for AI models?
Some effective techniques include data type checks, range checks, and consistency checks.
Can you explain what range checks are?
Range checks ensure that data falls within a specified range, helping to catch outliers.
What tools can I use for data validation?
You can use tools like Pandas, Great Expectations, or custom scripts in Python.
How do I implement these techniques in my AI project?
Start by defining your data requirements, then apply the checks during data preprocessing.
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