--- title: Kaggle Reviews meta_title: 'Kaggle Reviews 2026: Details, Pricing, & Features | G2' meta_description: Filter 34 reviews by the users' company size, role or industry to find out how Kaggle works for a business like yours. aggregate_rating: rating_value: 4.7 review_count: 34 scale: '5' date_modified: '2026-06-21' parent_category: name: Education url: https://www.g2.com/categories/education --- # Kaggle Reviews **Vendor:** Kaggle **Category:** [Online Course Providers](https://www.g2.com/categories/online-course-providers) **Average Rating:** 4.7/5.0 **Total Reviews:** 34 ## About Kaggle Data science education. ## Kaggle Reviews ### 1. Powerful GPU Accelerators and Generous Quotas That Save Time **Rating:** 5.0/5.0 stars **Reviewed by:** Shivansh M. | Consultant Quantum Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** February 19, 2026 **What do you like best about Kaggle?** The hardware accelerators it offers, along with the generous weekly quotas, are a real lifesaver. I often work with the P100 GPU it offers and it has saved so much of my time. Separating and merging code cells is quite easy with the intuitive keyboard shortcuts. The dual GPU (T4 *2) setup is especially useful for parallel learning. **What do you dislike about Kaggle?** It’s not easy to set up or freeze an environment with specific dependencies. Instead, I have to install the required packages again in every session (or create the dependencies installation file and run it). Also, when I run a cell using the keyboard shortcut (SHIFT + ENTER), it doesn’t visually move me to the next cell, so I end up having to scroll to find it. Furthermore, it would be nice to be able to see the time it took for each cell to run (similar to google colab). **What problems is Kaggle solving and how is that benefiting you?** Kaggle has become my go-to IDE. Whether it’s a simple test script or a full hybrid Quantum-ML pipeline, I can run it with accelerators that feel better suited to the job on Kaggle (even on the free tier). It took me just under 30 minutes to deploy and run a hybrid QML pipeline using the P100 GPU offered by Kaggle, compared with 3+ hours on just a Colab CPU or 1.5+ hours on a single Colab T4 GPU. The learning modules also do a good job of teaching the basics of ML and data science, and they provide a plethora of datasets and models to experiment with. ### 2. Best to practice Machine learning - Kaggle **Rating:** 5.0/5.0 stars **Reviewed by:** Kapil K. | Graduate Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2023 **What do you like best about Kaggle?** For me Kaggle is by far the best platform for machine learning. As it uses notbooks to run the code, execution of code becomes much easier as we can do cell execution. Also downloading any libraries is quite handy on Kaggle. Getting the data from different sources is also easy. **What do you dislike about Kaggle?** Only thing I think where kaggle is lagging is the starting of a cluster as sometimes it take a bit longer to start. So kaggle team can work on making it more efficient. **What problems is Kaggle solving and how is that benefiting you?** Most of the time I practice my machine learning algorithms on Kaggle as it is easy and it has all the computation power needed to run the code. Also there are some courses provided by Kaggle that have helped me in Data Science journey. ### 3. Kaggle **Rating:** 4.5/5.0 stars **Reviewed by:** Ashish K. | Data Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2023 **What do you like best about Kaggle?** Kaggle is a best platform where the data scientist or data analyst find the best datasets for the create machine learning models it provides various dataset which are image, text , audio all type. **What do you dislike about Kaggle?** Kaggle provide many many options where you are not find the dataset which dataset is best for your models which you are a train for the your model. And some time you have to clean the data in the dataset. **What problems is Kaggle solving and how is that benefiting you?** For finding the dataset I'm facing the problem for find the dataset for my model but with help of the kaggle I'm easily find the dataset for my model which I need to fees my model ### 4. Best Platform for Data science **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** April 01, 2023 **What do you like best about Kaggle?** Kaggle is a great platform to showcase one's data science skills It has a vast pool of datasets It also gives opportunities to view other data scientist's notebooks and connect with them **What do you dislike about Kaggle?** Kaggle offers free GPU only for a limited time Kaggle contests gives importance only to the scoring metric but data science is much more than accuracy **What problems is Kaggle solving and how is that benefiting you?** Kaggle is giving a great opportunity to learn and showcase data science skills It helps to connect to data scientists all around the globe Recently it has also started offering Data science certification courses ### 5. Very useful if you're looking for complete datasets! **Rating:** 5.0/5.0 stars **Reviewed by:** Aïcha B. | Coordinator, Small-Business (50 or fewer emp.) **Reviewed Date:** March 31, 2023 **What do you like best about Kaggle?** Wide range of complete datasets. Very practical and fast to find what you are looking for. **What do you dislike about Kaggle?** I didn't find any downsides to using Kaggle. **What problems is Kaggle solving and how is that benefiting you?** Allows you to quickly find a wide variety of datasets. ### 6. I use it almost daily **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** June 14, 2022 **What do you like best about Kaggle?** It serves as a coding platform, has unlimited datasets that are highly diverse and almost cover all topics existing, it hosts multiple competitions that not only helps to solve pressing problems through AI through various user contributions but also provides hands on experience to AI and ML engineers worldwide with different experience levels. It also has a huge community of professionals, engineers and enthusiasts that always seem to have the answers to my questions with great support levels. **What do you dislike about Kaggle?** Not much honestly but sometimes for competitions some rules are very clear or not mentioned at all for example in my last competition with Kaggle there was no mention of when to submit the code itself and I was surprised that It needed to be submitted before a certain deadline that wasn't mentioned. **What problems is Kaggle solving and how is that benefiting you?** Kaggle is contributing in solving the world's most stressing problems through AI not only that but also helps incorporate AI in almost all industries with providing hands on experience to millions of users and promoting community support and collaboration. When I started with AI I would only go to Kaggle for datasets and to ask for support. I also love the ranks it gives users and the small accomplishments that push you to go further. I gained huge experience through the enrollment in the competitions it offers and I still do. ### 7. Kaggle Really helps new Data Scientist for a great Kick Start **Rating:** 5.0/5.0 stars **Reviewed by:** Ashish A. | Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** November 16, 2021 **What do you like best about Kaggle?** I am a Data Enthusiast and was really struggling to have a start and I found Kaggle. The best part of Kaggle is that it provides a range of Datasets, Online Editor, and computing resources and they are free and enough for new users. **What do you dislike about Kaggle?** Kaggle is best and doesn't have such a thing to dislike but still talking about it. It provides GPU access for only 37hrs per week. But many of us are ok with it. **Recommendations to others considering Kaggle:** I will recommend Kaggle for Data Enthusiast who are really looking for a carrier in Data. **What problems is Kaggle solving and how is that benefiting you?** I am a Proposed DataScientist and am using Kaggle and its data to test and build different machine learning models ranging from health detection models to object detection models. These benefits really help me and other learners to grow in their carrier. ### 8. Kaggle - Access to every tool you need for Machine Learning and Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Piyush S. | Software Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** August 02, 2021 **What do you like best about Kaggle?** The best thing about Kaggle is that before diving directly into the competitions and other stuffs, one could first learn from the Courses and Certifications provided by Kaggle. It gives extensive education to the learner about how the things actually work. Other than this, it gives remote access to hardware and softwares that one could only dream of. The community, is far better and accurate than that of Stack Overflow as only relevant questions are addressed. It is a complete package from Beginner to Advance track in Machine Learning and Data Science. **What do you dislike about Kaggle?** Since Kaggle is cloud based, it works on servers and hence, it is slow when starting. But it draws the attention from a little bit of slow speed to it features in no time. If only something could be done about faster intitialization of notebooks in browsers (though it is still the best product one could think of) it can become better. **Recommendations to others considering Kaggle:** The only advice is to engage with the community in kaggle rather than looking outside to stack overflow or googling around. People who use kaggle, know kaggle better than any one else out there. **What problems is Kaggle solving and how is that benefiting you?** The GPU acceleration, vast amount of Data Sets, access to almost all possible python library and machine learning module and an extremely user friendly UI and UX are the things that caught my eye and are not allowing me to find an alternative at all. The most powerful benefits are the courses & certifications, competitions and community. ### 9. The Best Data Science Community and Platform **Rating:** 5.0/5.0 stars **Reviewed by:** Kushagra G. | AngelHack Student Ambassador (India), Enterprise (> 1000 emp.) **Reviewed Date:** October 05, 2021 **What do you like best about Kaggle?** The thing that I love about Kaggle is that it has a wide variety of never-ending datasets and a global community of data scientists to learn from. **What do you dislike about Kaggle?** As such for now absolutely there is nothing that I don't l like about Kaggle, everything is best. But the UI can still be Improved more. **What problems is Kaggle solving and how is that benefiting you?** I am able to learn and Impart my knowledge, Plus the certifications and medals add a plus to the resume as well. It has helped me a lot in solving a lot of problems that I was facing while starting up in the field of Data Science and Machine Learning. ### 10. Kaggle platform **Rating:** 5.0/5.0 stars **Reviewed by:** Homayoon K. | Data Scientist, Small-Business (50 or fewer emp.) **Reviewed Date:** June 17, 2021 **What do you like best about Kaggle?** Kaggle is an excellent platform and the biggest data science community in the world where you can learn anything from zero to hero by reading different datasets, notebooks, research, questions, etc. In my opinion, Kaggle is a free university where you become a professional in a data science role jobs by just reading and working on your notebooks. **What do you dislike about Kaggle?** I would suggest putting "Shift-Tab: tooltip" command to get all the information easily as easiest as like Jupyter Notebook. But, overall, everything is excellent, and I spend lots of time reading and writing code on Kaggle. **Recommendations to others considering Kaggle:** I would suggest putting "Shift-Tab: tooltip" command to get all the information easily as easiest as like Jupyter Notebook. **What problems is Kaggle solving and how is that benefiting you?** I like when I could write my notebook about detecting cancers and COVID-19 through analyzing X-Ray Images. I have applied Convolutional Neural Networks (CNN) and Transfer Learning. The Kaggle Platform has helped me a lot to solve different issues. ### 11. Educational and quality **Rating:** 5.0/5.0 stars **Reviewed by:** deniz y. | Business Intelligence Manager, Enterprise (> 1000 emp.) **Reviewed Date:** October 05, 2021 **What do you like best about Kaggle?** I learn a lot of information, especially in competitions. There are very good models written in the field of machine learning. On site; There are various and qualified data sets that are open to everyone. A great platform for data scientists. You can run the codes written in R or Python in the internet browser. Its performance is pretty good. **What do you dislike about Kaggle?** Some users publish the results of their models in a misleading way. The moderation system may come. **What problems is Kaggle solving and how is that benefiting you?** I found datasets to train my models. I have studied many models and learned a lot of information. It was helpful in solving the problems in the models I am currently using. ### 12. One Stop Solution For Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Shivansh S. | Trainee, Small-Business (50 or fewer emp.) **Reviewed Date:** July 31, 2021 **What do you like best about Kaggle?** There are a lot of datasets available in the Kaggle, so that we can do the expertise in all the areas. **What do you dislike about Kaggle?** There are a lot of code submitted by different type of users, so even a user is beginner and he/she submitted his/her code that is not good for a beginner to learn from them but still newbies trust on them which somehow waste the time of a newbie. So They should make a seperate section which identify that this code is submitted by a beginner or a professional. **What problems is Kaggle solving and how is that benefiting you?** I'm learning data science to solve various data related problems in medical science, so it will be good to learn from there as they have a lot of datasets to practice on. ### 13. Greatly recommend kaggle for under graduates and professionals alike. **Rating:** 5.0/5.0 stars **Reviewed by:** Vineeth A. | Machine Learning Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2021 **What do you like best about Kaggle?** 1. Access to GPUs 2. Learning for Masters and Grand Masters 3. Great notebooks about all areas of Deep Learning like computer vision and NLP **What do you dislike about Kaggle?** 1. Highly competitive, can be overwhelming to beginners **Recommendations to others considering Kaggle:** 1. You can learn from top people in the field 2.Various pre-processing and post-processing tricks that help in writing optimal code. **What problems is Kaggle solving and how is that benefiting you?** I have been doing competitions; there is a tremendous amount of learning through competitions; it puts skills to the test and needs constant logic improvement to improve scores. ### 14. Challenging yet rewarding ( once you have the background) **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Biotechnology | Small-Business (50 or fewer emp.) **Reviewed Date:** July 31, 2021 **What do you like best about Kaggle?** I was delighted with Kaggle's extensive tutorial base and its set of short courses for the DS novice. Their team does seem very friendly and open to newcomers. They do try to explain everything in great detail, and they do provide an interesting and competitive playground for the DS learner. **What do you dislike about Kaggle?** I think Kaggle is a good (no, I won't choose the 'Excellent' word :) ) place to hone up your skills once you've upped up your Math skills. As I've progressed throughout the minicourses, I realized that without a more solid preparation in Math and Python + DS, I don't get a good grasp of the material. I'm following a different learning path with Math being the main point and will return to Kaggle once I actually feel that I know what I'm doing. **Recommendations to others considering Kaggle:** For sure, give it a try and go through some of their courses. Be aware, however, that Kaggle is a good start to get your feet wet, but you actually need much more background than they provide to know what you are actually doing ( at least this was the case for me ). I think this platform is more helpful to people who have more in-depth knowledge about the subject and are not complete novices as I was three months ago. (BTW G2 autocorrect bot is ok-ish but it is a bit annoying when it tries to make me use 'excellent' instead of 'good' and other things that tend to clip my sentences shorter and less expressive, just fyi) **What problems is Kaggle solving and how is that benefiting you?** Kaggle helped me get a first-hand experience on what DS looks like and what kind of problems a future DS professional like me will have to solve. ### 15. Kaggle is one stop for datasets and machine learning both in industry and academia **Rating:** 5.0/5.0 stars **Reviewed by:** Jaisimha M. | Material Scientist and Nanotechnology Research Studies, Enterprise (> 1000 emp.) **Reviewed Date:** July 14, 2021 **What do you like best about Kaggle?** Diverse Datasets and Challenging Problem Statements and I personally love how data scientists put their repositories open **What do you dislike about Kaggle?** It would be wonderful if there are more Datasets on Disciplines like Nanotechnology, Material Science and Quantum Computing **Recommendations to others considering Kaggle:** The best Data Science Platform to Crunch numbers and obtain Data insights for the Application of AI Algorithms for Industry and Research. **What problems is Kaggle solving and how is that benefiting you?** Solutions related to Nanotechnology and Material Sciences. The data insights are helpful for further research . ### 16. I used to do some competition. It's a great platform to learn DS/ML **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2021 **What do you like best about Kaggle?** Collaborations and exchange. It's a good way to learn from other data science fellow **What do you dislike about Kaggle?** The great thing about kaggle is that e can learn state of the art techniques. The downsides of kaggle are that the data are not always representative of what we find in the real life. **Recommendations to others considering Kaggle:** Kaggle is great, you should do some! **What problems is Kaggle solving and how is that benefiting you?** I solve NLP and computer vision problems in Kaggle. I went to some kaggle days in Paris and san francisco. ### 17. Srijan_titanic_Kaggle review **Rating:** 4.5/5.0 stars **Reviewed by:** Srijan S. | Senior Management Trainee, Small-Business (50 or fewer emp.) **Reviewed Date:** July 14, 2021 **What do you like best about Kaggle?** The number of available data to work with and its complexity levels for any kind of learner. **What do you dislike about Kaggle?** Similar questions can be too overwhelming at times. **Recommendations to others considering Kaggle:** Great place to start and learn. Great place to put learning into practice. **What problems is Kaggle solving and how is that benefiting you?** {"translation":"Analysis"} ### 18. Kaggle : One stop solution for Data Scientists **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Higher Education | Enterprise (> 1000 emp.) **Reviewed Date:** August 09, 2021 **What do you like best about Kaggle?** The datasets provided with all the tools and resources **What do you dislike about Kaggle?** Nothing Its too good to be true They can incorporate more divisions for different streams - data engineering, data science, data analytics **Recommendations to others considering Kaggle:** Try to take part in the discussions more **What problems is Kaggle solving and how is that benefiting you?** I can practice anytime I want with variety of datasets. So many different projects to work on and hone my skills. ### 19. Because it is hub of great data scientists. Every data scientist providing his best to get achieved. **Rating:** 5.0/5.0 stars **Reviewed by:** badar J. | T, Small-Business (50 or fewer emp.) **Reviewed Date:** July 13, 2021 **What do you like best about Kaggle?** Their approach towards get started people. **What do you dislike about Kaggle?** So far, I have good experience with it.. **Recommendations to others considering Kaggle:** Good for emerging data scientists. **What problems is Kaggle solving and how is that benefiting you?** I am solving basic problems of learning basic things still. ### 20. My experience with Kaggle **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** August 02, 2021 **What do you like best about Kaggle?** variety of competitions for the users are perfect **What do you dislike about Kaggle?** while the overall user experience is good, it would be better if the courses are improved **What problems is Kaggle solving and how is that benefiting you?** my career started with the titanic challenge and participating in competitions in Kaggle increased my confidence ### 21. Good learning experience **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** July 28, 2021 **What do you like best about Kaggle?** Get hands-on with various types of data, check peer code for guidelines, new techniques, ideas **What do you dislike about Kaggle?** Little unclear regarding rewarding system **Recommendations to others considering Kaggle:** Yes **What problems is Kaggle solving and how is that benefiting you?** Able to try out codes, contribute to the community, experiment with the data ### 22. Amazing Experince **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in E-Learning | Small-Business (50 or fewer emp.) **Reviewed Date:** August 02, 2021 **What do you like best about Kaggle?** Seem less UX. Gamefied learning. Real databases. **What do you dislike about Kaggle?** Going through the projects to identify the right project to take up. There couls be a small guide for a collection of projects to undertake at every level **Recommendations to others considering Kaggle:** Read a lot about the projects before getting started **What problems is Kaggle solving and how is that benefiting you?** I used it individually not as a business. It allowed to have hands on expeirence on real datasets that are interesting and challenging. ### 23. Reviewing kaggle **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Services | Small-Business (50 or fewer emp.) **Reviewed Date:** July 31, 2021 **What do you like best about Kaggle?** Problem variety available in the kaggle form is great **What do you dislike about Kaggle?** Nothing needs to be changed as of now in the platform **Recommendations to others considering Kaggle:** Great platforms to learn **What problems is Kaggle solving and how is that benefiting you?** Data science-related problems ### 24. Interactive Practice **Rating:** 4.0/5.0 stars **Reviewed by:** MD.Musfikus S. | Analyst, Small-Business (50 or fewer emp.) **Reviewed Date:** June 20, 2021 **What do you like best about Kaggle?** I could practice prediction projects and compare my results.... Upside: Easily accessible **What do you dislike about Kaggle?** Nothing that much. Usually at first, I had a difficult time finding out what to do. **What problems is Kaggle solving and how is that benefiting you?** Titanic prediction for data manipulation.Thats how I first realized how the process work. ### 25. Kaggle is like heaven for all data enthusiasts **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Networking | Enterprise (> 1000 emp.) **Reviewed Date:** August 01, 2021 **What do you like best about Kaggle?** Variety of data sets available on this platform is just huge . **What do you dislike about Kaggle?** As such ,there is no dislikes but the tutorial for the existing challenges can be improved. **What problems is Kaggle solving and how is that benefiting you?** I have used kaggle for nourishing my data science skills. It has helped me to gain experience of working on industry ready data sets and challenges. ### 26. Addictive and Challenging! **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Telecommunications | Small-Business (50 or fewer emp.) **Reviewed Date:** August 01, 2021 **What do you like best about Kaggle?** Great tool for learning data mining and data science. **What do you dislike about Kaggle?** The learning curve is somehow steep, needs time and patience. **Recommendations to others considering Kaggle:** Start with online training providers that provider hints on how to use Kaggle **What problems is Kaggle solving and how is that benefiting you?** I have use it mostly for learning data science so the main benefict is self learning. ### 27. A perfect place to get experiential learning **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Primary/Secondary Education | Mid-Market (51-1000 emp.) **Reviewed Date:** July 30, 2021 **What do you like best about Kaggle?** The amount of projects that Kaggle has provides a lot of learning opportunities. **What do you dislike about Kaggle?** I felt the user interface is a little complicated, and finding the right project is slightly tricky. **What problems is Kaggle solving and how is that benefiting you?** I was working on a project for data analysis, and I was using Kaggle to perform initial analysis ### 28. Lots of learning **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Banking | Enterprise (> 1000 emp.) **Reviewed Date:** July 30, 2021 **What do you like best about Kaggle?** learning, Competitions, networking, visibility, **What do you dislike about Kaggle?** Many nonexperts started becoming masters and grandmasters which is hurting Kaggle's image finally. Since they cant reflect the same at work **Recommendations to others considering Kaggle:** you can learn almost everything in data science with Kaggle. **What problems is Kaggle solving and how is that benefiting you?** Regression/classification: Feature engineering, Accurate cross-validation, and ensembling ### 29. I have been using Kaggle data set for to testing different model and improve my general AI knowledge **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Mid-Market (51-1000 emp.) **Reviewed Date:** August 02, 2021 **What do you like best about Kaggle?** They do provide ranking and so you know how your model performing in general. **What do you dislike about Kaggle?** There are sometimes people use hacks. Like using output data/labels. **What problems is Kaggle solving and how is that benefiting you?** Generally I was solving NLP problems and question/answer problems. ### 30. I started to know kaggle when I started to learn basic data analysis and ML **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Automotive | Small-Business (50 or fewer emp.) **Reviewed Date:** July 29, 2021 **What do you like best about Kaggle?** free data source, and free solutions I can tryout **What do you dislike about Kaggle?** Kaggle website does'nt support powerful computing resource like colab **What problems is Kaggle solving and how is that benefiting you?** began with titanic survivor topics and recently some deeper DL labs provided by open source ML courses ### 31. I have utilised this kaggle to improve my datascience skill set **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Retail | Small-Business (50 or fewer emp.) **Reviewed Date:** August 02, 2021 **What do you like best about Kaggle?** it has lot of data sets to practice and the code and ranking part is the best **What do you dislike about Kaggle?** sometimes datasets not available to download **What problems is Kaggle solving and how is that benefiting you?** Machine Learning ### 32. Perfect Platform to explore domains of data science and compete in the same **Rating:** 4.0/5.0 stars **Reviewed by:** Mridul A. | .NET Developer intern, Enterprise (> 1000 emp.) **Reviewed Date:** November 01, 2020 **What do you like best about Kaggle?** Backed by google, and with a will to promote data science, Kaggle provides resources for data processing at a basic level that could be leveraged to practically try things and solve real challanges. **What do you dislike about Kaggle?** Computation power is pretty restrictive, providing just a 6 hour instance on GPU. **Recommendations to others considering Kaggle:** Great platform to meet people in data science, build skills and compete. Not recommended for advance processing. **What problems is Kaggle solving and how is that benefiting you?** It helped me solved real life problems that became simplified due to data analytics and data processing. ### 33. Best source to learn machine learning **Rating:** 5.0/5.0 stars **Reviewed by:** Riya S. | Student, Mid-Market (51-1000 emp.) **Reviewed Date:** May 23, 2019 **What do you like best about Kaggle?** I particularly like the competitions section of Kaggle where you can participate in a team and you can learn machine learning algorithms by applying on various datasets and then predicting the results. The best thing is you can earn swags and prizes while doing so. **What do you dislike about Kaggle?** I don't like the User Interface of the kernels section. It is not self explanatory. **What problems is Kaggle solving and how is that benefiting you?** Mostly understanding machine learning and implementing its algorithms has become more easier now. Got to know about new types of datasets available as well as new problems and their solutions. ### 34. Kaggle - the best way to learn Data Science **Rating:** 5.0/5.0 stars **Reviewed by:** Bisma B. | Data Analyst, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** December 13, 2018 **What do you like best about Kaggle?** I love the fact that Kaggle is a community. Users share their work, help in comments and enhance the experience for other users. This allows it to be a very active learning environment. **What do you dislike about Kaggle?** Sometimes it is overwhelming to keep up with all the competitions. I get many email notifications. It might be useful to send you notifications based on your profile or activity. **What problems is Kaggle solving and how is that benefiting you?** Machine learning problems. It allows to help learn methods for model improvement and improvement of accuracy rates. The users sometimes approach unique and creative solutions to increase accuracy in models and that can be applied elsewhere. ## Kaggle Discussions - [Which is better Google colab or Kaggle?](https://www.g2.com/discussions/which-is-better-google-colab-or-kaggle) - 2 comments - [What is the purpose of Kaggle?](https://www.g2.com/discussions/what-is-the-purpose-of-kaggle) - 1 comment - [View Kaggle pricing details and edition comparison](https://www.g2.com/products/kaggle/reviews?section=pricing&secure%5Bexpires_at%5D=2026-06-24+10%3A20%3A56+-0500&secure%5Bsession_id%5D=c991b1da-6f7e-4cd7-9531-27be285d23d8&secure%5Btoken%5D=813a4d330ddf8120e4c673c6176f3cb646ceeb8dc5a89b65ee85c681aed95a65&format=llm_user) ## Kaggle Features **Functionality** - Skill Gap Analysis - Skill Assessment - Projects - Comprehension Checks - Course Recommendation Engine - Learning Paths - Channels **Courses** - Personalized recommendations - High-quality content - Video content - Projects - In-course assessments - Certification practice tests **Content** - Interactive Content - Video Content **Administration** - Team-level monitoring - Administrative dashboard - Certificates **Platform Reporting and Analytics** - Advanced Analytics - SSO - API Access **Compatibility** - Mobile compatibility - Offline access - Single sign-on (SSO) **Generative AI** - AI Text Generation **Agentic AI - Technical Skills Development** - Adaptive Learning ## Top Kaggle Alternatives - [DataCamp](https://www.g2.com/products/datacamp/reviews) - 4.7/5.0 (507 reviews) - [Pluralsight](https://www.g2.com/products/pluralsight/reviews) - 4.6/5.0 (1,297 reviews) - [Udemy Business](https://www.g2.com/products/udemy-business/reviews) - 4.5/5.0 (641 reviews)