Piramid Surin[Study] Try a Model for Predicting Employee Task Completion TimesThis article is based on an assignment from the Master of Science in Data Science at Srinakharinwirot University.14h ago
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InNovai-Artificial Intelligence 101byNova NovriansyahHandling Class Imbalance in Loan Approval Prediction Using XGBoostClass imbalance is a common challenge in machine learning, where one class significantly outnumbers the other. For example, in a loan…4d ago4d ago
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Piramid Surin[Study] Try a Model for Predicting Employee Task Completion TimesThis article is based on an assignment from the Master of Science in Data Science at Srinakharinwirot University.14h ago
InTowards Data SciencebyAlvaro Corrales CanoForecasting in the Age of Foundation ModelsBenchmarking Lag-Llama against XGBoostJul 202
InPython in Plain EnglishbyOuarda FENEKAnomaly Detection: End-to-End Real-life Bank Card Fraud Detection with XGBoostIn this article learn how to do:Nov 141
InNovai-Artificial Intelligence 101byNova NovriansyahHandling Class Imbalance in Loan Approval Prediction Using XGBoostClass imbalance is a common challenge in machine learning, where one class significantly outnumbers the other. For example, in a loan…4d ago
InTowards Data SciencebyValerie CareyNo Label Left Behind: Alternative Encodings for Hierarchical CategoricalsSeeking a system that works for current and future codesMay 17
Isaak KamauWhen to Use XGBoost over LLM: A Case Study in Stock Market AnalysisChoosing between XGBoost (eXtreme Gradient Boosting) and a Large Language Model (LLM) depends on the specific nature of your problem, the…Aug 4
InNovai-Artificial Intelligence 101byNova NovriansyahSolving Loan Approval Problems Using XGBoostIn this article, we’ll walk through how to use XGBoost (Extreme Gradient Boosting) to predict loan approvals. We’ll explain what XGBoost…4d ago
InTowards Data SciencebyJacky KaubThe Biggest Weakness Of Boosting TreesWhy distribution drifts can really hurt your modelsFeb 1210