Kaggle.com is UP and reachable by us. The above graph displays service status activity for Kaggle.com over the last 10 automatic checks. The blue bar displays the response time, which is better when smaller. If no bar is displayed for a specific time it means that the service was down and the site was
offline
.
How do you make a kaggle account?
- Go to the Kaggle website and click on sign up section.
- Setup your Kaggle profile by providing a brief bio, picture, location, title and current workplace. You can also add your LinkedIn, Github and Facebook accounts so people can contact you when needed.
What is kaggle problem?
Here are some major reasons: They belittle their level of skills, knowledge and techniques acquired. Irrespective of their level of skill sets, they choose the
problem offering highest prize money
. They fail to equivocate their level of skill set with the difficulty level of problem.
How do I delete my kaggle account?
- General Privacy:
[email protected]
- Data Protection Office:
[email protected]
- Security:
[email protected]
- Abuse:
[email protected]
Is kaggle down now?
Kaggle.com is UP and reachable by us. The above graph displays service status activity for Kaggle.com over the last 10 automatic checks. The blue bar displays the response time, which is better when smaller. If no bar is displayed for a specific time it means that the service was down and the site was
offline
.
Is Kaggle owned by Google?
| Your Home for Data Science | Type Subsidiary | Products Competitions, Kaggle Kernels, Kaggle Datasets, Kaggle Learn | Owner Alphabet Inc. (2017–present) | Parent Google (2017–present) |
|---|
Is Kaggle good for beginners?
Despite the differences between Kaggle and typical data science,
Kaggle can still be a great learning tool for beginners
. Each competition is self-contained. You don’t need to scope your own project and collect data, which frees you up to focus on other skills.
Can Kaggle get you a job?
While Kaggle can open a doorway to getting a job in machine learning or data science, it has some disadvantages that make it only part of the hiring process. This means that
your job application cannot be contingent
on only your Kaggle profile.
Is kaggle account free?
Getting Started with Kaggle
You are free to copy
and use them to get started on a competition. Code is available in both R and Python.
How do I start working on kaggle?
- Pick a Platform. There are many machine learning platforms to choose from, and you may end up using many of them, but start with one. …
- Practice on Standard Datasets. …
- Practice old Kaggle Problems. …
- Compete on Kaggle.
How do I start a kaggle project?
- Cover the essential basics. Choose a language: Python or R. …
- Find an interesting challenge/dataset. …
- Explore the public kernels. …
- Develop your own kernel. …
- Learn what you need to and go back to step 4. …
- Improve your analysis by going back to step 3.
Can I have multiple Kaggle accounts?
You cannot sign up to Kaggle from multiple accounts
and therefore you cannot submit from multiple accounts.
How do I update my Kaggle API?
- Run kaggle datasets init -p /path/to/dataset to generate a metadata file (if you don’t already have one)
- Make sure the id field in dataset-metadata. …
- Run kaggle datasets version -p /path/to/dataset -m “Your message here”
How do I change my Kaggle email?
- Go to My Account (clicking on your image on the top right of the website)
- Click on Edit (Not on Edit Profile, but Edit under it)
Is Google Colaboratory safe?
A1:
It’s safe
, at least as safe as your private Google Doc is. No one can access your own private Colab notebooks. And Google has the incentive to make it as safe as possible for their reputation. Because, they need to sell GCP to business.
Which is better Google colab or Kaggle?
Saving
or storing of models is easier on Colab
since it allows them to be saved and stored to Google Drive. Also if one is using TensorFlow, using TPUs would be preferred on Colab. It is also faster than Kaggle. For a use case demanding more power and longer running processes, Colab is preferred.
