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As we all know, a big part of a data scientist’s job is to clean and preprocess data. A huge part of this involves outlier detection and removal. Large outliers, spikes and bad data can really interfere with training an accurate machine learning model, so it’s important that outliers are handled properly.
Igloo, Inc., the company behind the popular NFT brand Pudgy Penguins, has successfully closed over $11 million to fuel the development of its new Ethereum
How I used AI and Streamlit to create a festive and fun gift recommendation app Shuqing Ke · Follow Published in Towards Data Science ·
The AI industry must support smaller, specialized models that provide critical, efficient capabilities for various niche applications.Read More