People underestimate how impactful Scikit-learn continues to be
Read OriginalThis article argues that Scikit-learn's impact is often underestimated. It highlights its continued popularity in surveys, its focus on classic machine learning (like linear models and gradient-boosted trees) which are widely used for tabular data, and presents benchmarks showing its efficiency. The piece contrasts it with deep-learning frameworks, explaining Scikit-learn's strategic niche and community-driven development model.
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