Data Scientist with 3 years of experience, Bojan Tunguz, has shared his insights on why tree-based models like XGBoost are the best candidates for tackling tabular data projects. This is due to the No Free Lunch Theorem, which states that any two algorithms are equivalent when their performances are averaged across all possible problems.
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