How do I prepare training data for an AI model?
Preparing training data involves collecting, cleaning, and organizing data to ensure it's suitable for training your AI model.
What types of data should I include?
Include diverse data types relevant to your task, such as text, images, or audio, ensuring they represent real-world scenarios.
How do I clean the data?
Data cleaning involves removing duplicates, correcting errors, and handling missing values to improve data quality.
Can I use synthetic data?
Yes, synthetic data can be useful, especially when real data is scarce, but ensure it accurately reflects the real-world context.
What tools can help with data preparation?
Tools like Pandas, NumPy, and data labeling platforms can assist in data preparation and cleaning processes.
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