Kaggle Community

Community Overview

About Kaggle Community

ML competitions, datasets, and community collaboration platform

The community at a glance

Kaggle Community is a GitHub Repo for ML Engineers with roughly 10.0M members. It has been around since 2010. It has both a forum and a live chat communication style. It also includes events or meetups and job listings or career networking. On the Hive Index it ranks #5 in the Machine Learning communities list.

On Github
Established 2010
10.0M Members

Community Features

This community has a forum

This community has a realtime chat

This community hosts offline events and meetups

This community has a job board or provides career networking opportunities

Frequently asked questions

Who is Kaggle Community for?
Best for ML Engineers enthusiasts looking for a Github-based community with forum discussion, live chat, events or meetups.
Is Kaggle Community free to join?
This listing is not marked as paid-only. Access rules and any fees are decided by the community.
How many members does Kaggle Community have?
Roughly 10.0M members, based on figures reported by the community or its host. Member counts are approximate and change over time.
What platform is Kaggle Community on?
Kaggle Community runs on Github. GitHub is a platform and cloud-based service for software development and version control, allowing developers to store and manage their code. Each code repository is a mini-community, dedicated to contrubuting to the open source codebase.
What topics does Kaggle Community cover?
On the Hive Index, Kaggle Community is organized under ML Engineers.
How do I join Kaggle Community?
You can join Kaggle Community by clicking this link, or pressing the "Go to community" button above.
What are the Machine Learning communities like?
Communities for machine learning practitioners and researchers covering model development, MLOps, and applied AI. Reddit has one of the largest communities for general ML discussion, with Discord servers organized around specific tools, frameworks, and deployment environments.