Description

Kaggle is a free community for data scientists with a discussion forum, open datasets and code, competitions, and free online courses.

Kaggle it's completely free to use. When you register, you can join an online discussion forum with other data scientists. This online forum allows you to meet like-minded peers to bounce off ideas with. Indeed, members commonly use the forum to ask questions, request data science advice, and share resources with others.

Additionally, Kaggle offers free datasets and machine learning notebooks to help you explore, analyze, and share data. Moreover, they include useful documentation and guides on how to use each. Kaggle also provides 16 free online courses on data science and machine learning. All courses include certification and allow you to learn usable skills in just a matter of hours.

Kaggle allows different companies, researchers, teachers, and other individuals and organizations to create competitions. Competitions allow you to solve exciting real-world problems. By participating, you get exposure while also practicing your skills. There are money prizes as high as $160,000!

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Details

  • Membership: Free Community
  • Year Founded: 2010
  • Founders:

    Anthony Goldbloom and Ben Hamner

  • Amount of members: 173,300
  • Online Group: Yes
  • Online Platform: Own Platform
  • Job board: No
  • Language: English
  • Method: Virtual

Benefits

Meet like-minded data scientists:
Kaggle's discussion forums are awesome to meet like-minded peers and expand your network. Members use the forum to ask questions, request advice, and share resources with others.

Join exciting competitions:
This community is built around competitions. There are competitions for many skills levels, and some include money prizes as high as $160,000. Competitions allow you not only to sharpen your skills but also to get exposure.

Leverage Kaggle's resources to learn:
Kaggle has open datasets, machine learning notebooks, documentation on how to use each, and 16 free online courses with certifications. You can leverage all of these resources to become a better data scientist!

Requirements

No requirements.

Place

Learning Events

Kaggle Competitions are awesome ways not only to sharpen your skills but also to get you exposure. There are competitions for beginners but also for advanced users with money prizes as high as $160,000. 

On the other hand, Kaggle members benefit from several tools to accompany their machine learning journey. Kaggle has open datasets that allow you to explore, analyze, and share quality data. Moreover, Kaggle Notebooks allows you to explore and run machine learning code.

Networking Events

The community has a lively discussion forum where you can connect and interact with other data scientists. The online forum has four categories:

  • General
  • Getting Started
  • Product Feedback
  • Questions & Answers

Indeed, the Kaggle discussion forum it's great to ask questions, requesting data science advice, and share your knowledge with others. Members also use the online forums to share tips and useful resources.

Content Library

Kaggle offers some useful documentation and guides to learn how to use datasets, notebooks, and how to participate in competitions. Additionally, you can find the platform's public API documentation on their website.

Courses/Cohorts

The platform has several courses for different skills levels. All courses are free and now allow you to earn certifications. Some of the courses are:

  • Phyton
  • Intro to Machine Learning
  • Data Visualization
  • Intro to SQL
  • Intro to Deep Learning
  • Data Cleaning

... and many more. There are 16 courses you can leverage to become a better data scientist and gain usable skills in just a matter of hours.

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