Software Alternatives, Accelerators & Startups

Bomberland by Coder One VS CatBoost

Compare Bomberland by Coder One VS CatBoost and see what are their differences

Bomberland by Coder One logo Bomberland by Coder One

A multi-player AI sandbox to practise machine learning.

CatBoost logo CatBoost

CatBoost - state-of-the-art open-source gradient boosting library with categorical features support, https://catboost.yandex/ #catboost
  • Bomberland by Coder One Landing page
    Landing page //
    2023-02-28
  • CatBoost Landing page
    Landing page //
    2021-10-16

Bomberland by Coder One videos

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CatBoost videos

[Paper Review]Catboost: Unbiased Boosting with Categorical Features

More videos:

  • Review - 04-9: Ensemble Learning - CatBoost (앙상블 기법 - CatBoost)
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

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Data Science And Machine Learning
Data Science Tools
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Online Education
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Online Learning
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User comments

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Social recommendations and mentions

Based on our record, CatBoost seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Bomberland by Coder One mentions (0)

We have not tracked any mentions of Bomberland by Coder One yet. Tracking of Bomberland by Coder One recommendations started around May 2022.

CatBoost mentions (4)

  • What's New with AWS: Amazon SageMaker built-in algorithms now provides four new Tabular Data Modeling Algorithms
    CatBoost is another popular and high-performance open-source implementation of the Gradient Boosting Decision Tree (GBDT). To learn how to use this algorithm, please see example notebooks for Classification and Regression. - Source: dev.to / almost 3 years ago
  • Writing the fastest GBDT libary in Rust
    Here are our benchmarks on training time comparing Tangram's Gradient Boosted Decision Tree Library to LightGBM, XGBoost, CatBoost, and sklearn. - Source: dev.to / over 3 years ago
  • Data Science toolset summary from 2021
    Catboost - CatBoost is an open-source software library developed by Yandex. It provides a gradient boosting framework which attempts to solve for Categorical features using a permutation driven alternative compared to the classical algorithm. Link - https://catboost.ai/. - Source: dev.to / over 3 years ago
  • CatBoost Quickstart — ML Classification
    CatBoost is an open source algorithm based on gradient boosted decision trees. It supports numerical, categorical and text features. Check out the docs. - Source: dev.to / about 4 years ago

What are some alternatives?

When comparing Bomberland by Coder One and CatBoost, you can also consider the following products

PyCaret - open source, low-code machine learning library in Python

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

OpenAI Universe - Platform for measuring and training AI agents

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

CodinGame - CodinGame provides users with a fun and effective way to learn coding that eschews the rigid structure of traditional teaching methods.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.