CatBoost

Curated by Signal

Open source framework for ML implementation

Enterprise Software & Infrastructurecatboost.ai

Overview

Open source framework for ML implementation. It is a gradient boosting library that helps to manage data with categorical features. It is used for ranking, classification, regression, and other machine learning tasks. It leverages GPU to train the ML models. Features include data visualization, model analysis, and more.

Key facts

Founded: 2017
Headquarters: Moscow, Russia
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Industry: Enterprise Software & Infrastructure

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About CatBoost

What does CatBoost do?

Open source framework for ML implementation.

Where is CatBoost headquartered?

CatBoost is headquartered in Moscow, Russia.

When was CatBoost founded?

CatBoost was founded in 2017.

Which sector is CatBoost in?

CatBoost operates in Enterprise Software & Infrastructure.

Who are CatBoost's competitors?

Companies similar to CatBoost include Piklema, Programmatic, and GPU.