Real talk: the gap between clean tutorial datasets and the chaos of production data is where most projects stumble. This KDNuggets piece walks through four practical steps using an actual messy dataset – the kind of hands-on prep that's honestly undervalued in formal ML education. Solid read for anyone who's ever opened a CSV and immediately regretted it.
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