I've been using a pretty popular wallet for my Bitcoin, but I'm looking to get into Ethereum and I'm not sure if I should stick with what I've got or
why model complexity > data understanding is broken
everyone i know in data circles acts like they're here just for the buzz of building another fancy ml stack on top of messy spreadsheets tbh 40% of projects i've touched would collapse completely if you questioned whether a missing cell in the source data counted as zero or not this whole culture we've imported from machine learning and data science fields which tells you 215409721x about models and barely anything around clean inputs seems actively harmful the people building the pipelines get blamed when their assumptions hit roadblock yet the data wranganing tools all look the same — they never ask if any single metric is worth saving instead only how hard you can manipulate excel to look like something if your first move isn't asking who owns this data and whether we need it anyway then you might be doing it wrong
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