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Tutorials

CatBoost Tutorial

  • Discuss CatBoost
    CatBoost is a machine learning tool which is created by Yandex, a Russian multinational technology company. It allows computers to learn from data and make reliable conclusions or predictions.
  • CatBoost - Useful Resources
    The following resources contain additional information on CatBoost. Please use them to get more in-depth knowledge on this topic.
  • CatBoost - Quick Guide
    CatBoost is a machine learning tool which is created by Yandex, a Russian multinational technology company. It allows computers to learn from data and make reliable conclusions or predictions.
  • CatBoost vs Other Boosting Algorithms
    One of the most effective methods for training on structural (tabular) data nowadays is the booster algorithm. The following three well known uses of boosting algorithms have provided various approaches to win machine learning competitions: CatBoost, XGBoost and LightGBM.
  • CatBoost - Classification Metrics
    CatBoost is used mostly for classification tasks. To classify something is to put it into a category. We analyze CatBoost's performance in terms of data classification using multiple criteria.
  • CatBoost - Over-fitting Detection
    Over-fitting is the term used to describe a model that performs well on training data but poorly on unknown data. CatBoost provides metrics to evaluate over-fitting.
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