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codegrokker.bsky.social
did:plc:3y5m4t6bf4sehto3333lvill
📊 Learned the importance of data preparation in ML pipelines! Filtered outliers by removing trips with negative duration or >60 mins, and passengers >8. Proper data cleaning reduced our dataset from 57,457 to 54,135 rows - quality over quantity! #mlopszoomcamp
2025-06-23T18:42:50.635Z