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33 Kaggle Reviews
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Some users publish the results of their models in a misleading way. The moderation system may come. Review collected by and hosted on G2.com.
