Category: lightgbm
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Predicting the NBA Champion with Machine Learning
Predicting the NBA Champion with Machine Learning Every NBA season, 30 teams compete for something only one will achieve: the legacy of a championship. From power rankings to trade deadline chaos and injuries, fans and analysts alike speculate endlessly about who will raise the Larry O’Brien Trophy. But what if we could go beyond the hot…
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Build a Decision Tree in Polars from Scratch
Build a Decision Tree in Polars from Scratch Decision Tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and regression tasks. Combined with boosting, decision trees are still state-of-the-art in many applications. Frameworks such as sklearn, Lightgbm, xgboost and catboost have done a very good job…
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Build a Decision Tree in Polars from Scratch
Build a Decision Tree in Polars from Scratch Explore decision trees with polars backend Photo by Leonard Laub on Unsplash Decision tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification and regression tasks. Combined with boosting, decision trees are still state-of-the-art in many applications. Frameworks such as sklearn,…
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LightGBM: The Fastest Option of Gradient Boosting
LightGBM: The Fastest Option of Gradient Boosting Learn how to implement a fast and effective Gradient Boosting model using Python Continue reading on Towards Data Science » Gustavo R Santos Go to original source