Feature Engineering Challenges
Iker discusses the challenges faced by participants in a competition involving small datasets and high-dimensional spaces. Despite the hurdles of overfitting and limited data, innovative feature engineering methods, including XgBoost, proved to be key in achieving success. The competition attracted over 1300 participants, with promising approaches that could streamline the work of domain experts.In this clip
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Data Skeptic
ML at Sloan Kettering Cancer Center
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