How important is data quality in machine learning projects?
I’ve heard that the quality of data is more important than the complexity of algorithms. For those who have worked with AI models, how big of a problem is poor or messy data?
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Data quality is probably the most important factor in any machine learning project. Even the most advanced algorithms won’t perform well if the dataset is incomplete or inconsistent. That’s why companies that collaborate with data science ua often spend a significant amount of time preparing and structuring their data first.