CatBoostML

@CatBoostML

Official account for CatBoost, @yandexcom's open-source gradient boosting library github.com/catboost/catbo…

Moscow, Russia

catboost.ai

Joined August 2017

CatBoostML
@CatBoostML
Feb 3, 2022
#catboost_tipsntricks CatBoost sets a learning rate by looking at the number of iterations&objects in the trainset. In today's video, Nikita explains how to use built-in interactive learning curves to tune LR & iterations and improve model performance. youtu.be/O2OJ_JWYV0I
CatBoostML
@CatBoostML
Jan 27, 2022
#catboost_tipsntricks Consoles are not only for Jupyter&Python😸 In today's video Kate explains how to use main CatBoost features from CLI. This simple but powerful interface allows you to use practically anywhere and improve ml pipelines. youtu.be/m3E35snIrAM
CatBoostML
@CatBoostML
Jan 20, 2022
#catboost_tipsntricks 📹Model prediction interpretation in a human-readable form is a key for making a great machine learning system. In this video Nikita shows how to use SHAP values to understand model predictions
CatBoostML
@CatBoostML
Dec 20, 2021
Technical notice⚠️ In the next release, we will stop publishing CatBoost artifacts for Python 2.7 & 3.5 versions. If you still need CatBoost built for 2.7 or 3.5 - you can build it from sources. If you have any questions - contact us here, in telegram or via GitHub issues!😺
CatBoostML
@CatBoostML
Dec 16, 2021
#catboost_tipsntricks Feature selection is a crucial part of data engineering & ML. In today's video, Ivan talks about CatBoost's built-in feature selection function. It can help you speed up training and reduce overfitting.🚀
CatBoost | Feature Selection: speedup training and decrease overfitting
From youtube.com