Kaggle

Kaggle

Google
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About

Kaggle is a global AI and machine learning platform that brings together developers, researchers, organizations, and data science enthusiasts to build, evaluate, and improve artificial intelligence technologies. The platform offers access to AI competitions, benchmarks, hackathons, datasets, notebooks, pre-trained models, and educational courses that help users develop real-world machine learning skills. Kaggle enables organizations and researchers to host competitions, crowdsource evaluations, publish benchmarks, and discover top AI talent through its large global community of over 31 million users. Users can access free GPU and TPU-powered notebook environments, collaborate on public datasets, explore pre-trained AI models, and participate in large-scale AI research initiatives. The platform also provides learning resources including hands-on courses, solution write-ups, and reproducible notebooks that support both beginners and advanced machine learning practitioners.

About

Train in Data is your go-to online school for mastering machine learning. We offer intermediate and advanced courses in Python programming, data science and machine learning, taught by industry experts with extensive experience in developing, optimizing, and deploying machine learning models in enterprise production environments. We focus on building a solid, intuitive grasp of machine learning concepts, backed by hands-on Python coding to make sure you can actually apply what you learn. Our approach? Simple: learn the theory, understand the why behind it, then get coding. We give you the complete package—theory, coding, and troubleshooting skills—so you can confidently handle real-world projects from start to finish.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Kaggle is ideal for data scientists, AI researchers, machine learning engineers, developers, students, organizations, and technology companies seeking collaborative AI development, benchmarking, and machine learning training resources

Audience

Train in Data is ideal for intermediate to advanced learners seeking practical, expert-led machine learning and Python training to confidently tackle real-world projects

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

$15
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 4.8 / 5
ease 4.8 / 5
features 4.8 / 5
design 4.7 / 5
support 4.6 / 5

Pros & Cons from Real Users

Pros

  • It is very good content mostly for the time series, machine learning, good material and up to date and advanced materials
  • I like the way they explain and teach the concept. The videos are easy to digest and helps learners retain information
  • The Forecasting with Machine Learning course was very useful for my final year thesis. Loved the examples with respect to retail. The python notebooks are available to follow along. Am not trying to implement this at work for promotion planning. The interface is friendly and it's possible to take notes. References to other useful material provided. Instructors further videos on Youtube were useful too.
  • The feature engineering course is very thorough, it’s well organized and practical. I would recommend is to everyone interested in ML engineering
  • I really liked the intuitive interface and the wide range of features available. The platform makes data management and analysis much easier, and the customer support team has always been quick and helpful whenever I had questions.

Cons

  • it would be better to more focus on this topic and the application of time series foundation models that are now very popular, it would be much more efficient to cover a variety of topics in this area, moreover I believe it can be good if they talk more about the Gen AI type of models
  • I would like to have more exercise and diverse projects to work on.
  • Need some understanding of forecasting and machine learning. This is not meant for complete beginners. This isn't really a con but FYI.
  • I think the intention of the course is to serve as a reference for future projects. Maybe it would be interesting to have some follow up courses based on specific full projects
  • The only downside is that it can take a bit of time to learn all the advanced options, but once you get used to it, the experience is excellent.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
www.kaggle.com

Company Information

Train in Data
Founded: 2019
Germany
trainindata.com

Alternatives

Alternatives

Categories

Categories

Integrations

Jupyter Notebook
AIxBlock
DagsHub
Devstral
Gemma 2
Gemma 3
Gemma 4
Giskard
Google Workspace
Matplotlib
PaliGemma 2
Pipedream
Python
QSourcer
Qwen2.5
Qwen3
Shift
SourceWhale
TranslateGemma
Unsloth

Integrations

Jupyter Notebook
AIxBlock
DagsHub
Devstral
Gemma 2
Gemma 3
Gemma 4
Giskard
Google Workspace
Matplotlib
PaliGemma 2
Pipedream
Python
QSourcer
Qwen2.5
Qwen3
Shift
SourceWhale
TranslateGemma
Unsloth
Claim Kaggle and update features and information
Claim Kaggle and update features and information
Claim Train in Data and update features and information
Claim Train in Data and update features and information