Catboost.ai - CatBoost - open-source gradient boosting library

Provided by Alexa ranking, catboost.ai has ranked N/A in N/A and 1,142,009 on the world. catboost.ai reaches roughly 2,740 users per day and delivers about 82,191 users each month. The domain catboost.ai uses a Commercial suffix and it's server(s) are located in N/A with the IP number 87.250.251.101 and it is a .ai domain.

WEBCatBoost is a high-performance open source library for gradient boosting on decision trees. Features. 1. Great quality without parameter tuning. Reduce time spent on parameter tuning, because CatBoost provides great results with default parameters. 2. Categorical features support.

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CatBoost - open-source gradient boosting library
catboost.ai

https://catboost.ai/

WEBCatBoost is a high-performance open source library for gradient boosting on decision trees. Features. 1. Great quality without parameter tuning. Reduce time spent on parameter tuning, because CatBoost provides great results with default parameters. 2. Categorical features support.

DA: 95 PA: 55 MOZ Rank: 68

GitHub - catboost/catboost: A fast, scalable, high performance …
github.com

https://github.com/catboost/catboost

WEBA fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU. - catboost/catboost.

DA: 84 PA: 47 MOZ Rank: 1

CatBoost - Wikipedia
wikipedia.org

https://en.wikipedia.org/wiki/Catboost

WEBCatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which among other features attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm.

DA: 33 PA: 77 MOZ Rank: 27

CatBoost in Machine Learning - GeeksforGeeks
geeksforgeeks.org

https://www.geeksforgeeks.org/catboost-ml/

WEBMar 27, 2024 · CatBoost or Categorical Boosting is an open-source boosting library developed by Yandex. It is designed for use on problems like regression and classification having a very large number of independent features. Catboost is a variant of gradient boosting that can handle both categorical and numerical features.

DA: 68 PA: 54 MOZ Rank: 5

CatBoost
catboost.ai

https://catboost.ai/docs/

WEBCatBoost is a machine learning algorithm that uses gradient boosting on decision trees. It is available as an open source library. Training on GPU. Python train function. Cross …

DA: 92 PA: 20 MOZ Rank: 28

Quick start - Python package | CatBoost
catboost.ai

https://catboost.ai/docs/concepts/python-quickstart

WEBCatBoostClassifier. import numpy as np. from catboost import CatBoostClassifier, Pool. # initialize data . train_data = np.random.randint( 0 , 100 , size=( 100, 10 )) train_labels = …

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Releases · catboost/catboost · GitHub
github.com

https://github.com/catboost/catboost/releases

WEB1.2.5 Latest. New features. [Python-package]: Support custom eval metrics on GPU. #1792. Thanks to @pnsemyon. Bugfixes. [Python-package]: Check eval_period parameter validity for staged prediction. #2593. [Python-package]: Fix _CustomLoggersStack.pop logic. #2620. [R-package]: Fix Caret object: Inconsistent grid creation with documentation. #2609.

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CatBoost regression in 6 minutes. A brief hands-on introduction to
towardsdatascience.com

https://towardsdatascience.com/catboost-regression-in-6-minutes-3487f3e5b329

WEBFeb 18, 2021 · CatBoost builds upon the theory of decision trees and gradient boosting. The main idea of boosting is to sequentially combine many weak models (a model performing slightly better than random chance) and thus through greedy search create a strong competitive predictive model.

DA: 32 PA: 19 MOZ Rank: 28

What Is CatBoost? (Definition, How Does It Work?) | Built In
builtin.com

https://builtin.com/machine-learning/catboost

WEBApr 6, 2023 · CatBoost is a high-performance open-source library for gradient boosting on decision trees that we can use for classification, regression and ranking tasks. CatBoost uses a combination of ordered boosting, random permutations and gradient-based optimization to achieve high performance on large and complex data sets with …

DA: 63 PA: 57 MOZ Rank: 66

catboost · PyPI
pypi.org

https://pypi.org/project/catboost/

WEB6 days ago · Latest version. Released: Apr 18, 2024. Project description. CatBoost is a fast, scalable, high performance gradient boosting on decision trees library. Used for ranking, classification, regression and other ML tasks. CatBoost Python Package.

DA: 8 PA: 65 MOZ Rank: 83

Alexa Rank

GLOBAL RANK

1,142,009

Alexa Reach

0.0001209408

Page length

N/A

Alexa Rank Country N/A

N/A

Daily Unique Visitors

2,740

Monthly Unique Visitors

82,191

Vistor via Country

Country lang

Country code

Total visitor

Country

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Total visitor

United States

17,581

Indonesia

13,751

Taiwan

4,471

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3,970

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3,592

Nigeria

3,140

Egypt

2,638

Hong Kong

2,490

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2,490

Australia

2,170

Philippines

1,553

India

1,512

Malaysia

1,488

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1,233

Germany

1,200

Mexico

1,151

France

1,085

Italy

1,003

Turkey

921

Iraq

838

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822

Netherlands

789

Israel

781

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649

Algeria

501

Ireland

452

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436

Jordan

403

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386

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370

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353

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321

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288

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263

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247

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238

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230

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222

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214

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205

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197

Sweden

189

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181

Pakistan

173

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164

Denmark

156

Greece

148

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Host	Type	Class	TTL	Extra
catboost.ai	SOA	IN	600	Mname: ns3.yandex.ru Rname: sysadmin.yandex.ru Serial: 1713955569 Refresh: 900 Retry: 600 Expire: 3600000 Minimum-ttl: 300
catboost.ai	MX	IN	600	Pri: 10 Target: mx.yandex.net
catboost.ai	A	IN	526	Ip: 87.250.251.101
catboost.ai	AAAA	IN	526	Ipv6: 2a02:6b8::1b

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