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    • Overview
  • Parameter tuning
  • Speeding up the training
  • FAQ
    • Tutorials
    • Reference papers
    • Videos
  • Development and contributions
  • Contacts
  1. Educational materials
  2. Videos

Videos

  • High level overview of the library
  • Ordered boosting and categorical features processing in CatBoost short overview
  • CatBoost on GPU
  • Tutorial on using CatBoost in Python
  • Finding Influential Training Samples for Gradient Boosted Decision Trees (on Russian language only)
  • A Unified Approach to Interpreting Model Predictions
  • CatBoost for Apache Spark: Introduction
  • CatBoost for Apache Spark: Architecture

High level overview of the libraryHigh level overview of the library

Ordered boosting and categorical features processing in CatBoost short overviewOrdered boosting and categorical features processing in CatBoost short overview

CatBoost on GPUCatBoost on GPU

Tutorial on using CatBoost in PythonTutorial on using CatBoost in Python

Finding Influential Training Samples for Gradient Boosted Decision Trees (on Russian language only)Finding Influential Training Samples for Gradient Boosted Decision Trees (on Russian language only)

A Unified Approach to Interpreting Model PredictionsA Unified Approach to Interpreting Model Predictions

CatBoost for Apache Spark: IntroductionCatBoost for Apache Spark: Introduction

CatBoost for Apache Spark: ArchitectureCatBoost for Apache Spark: Architecture

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Reference papers
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Development and contributions
In this article:
  • High level overview of the library
  • Ordered boosting and categorical features processing in CatBoost short overview
  • CatBoost on GPU
  • Tutorial on using CatBoost in Python
  • Finding Influential Training Samples for Gradient Boosted Decision Trees (on Russian language only)
  • A Unified Approach to Interpreting Model Predictions
  • CatBoost for Apache Spark: Introduction
  • CatBoost for Apache Spark: Architecture