Kaggle Free Courses | Kaggle Data Science | Kaggle Machine Learning | Kaggle Competition
Kaggle Free Courses with Free Certificates | Kaggle Data Science Courses | Kaggle Machine Learning
Kaggle offers a no-setup, customizable, Jupyter Notebooks environment. Access free GPUs and a huge repository of community published data & code.
Inside Kaggle you’ll find all the code & data you need to do your data science work. Use over 50,000 public datasets and 400,000 public notebooks to conquer any analysis in no time.
Kaggle, a subsidiary of Google LLC, is an online community of data scientists and machine learning practitioners. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Kaggle got its start in 2010 by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science, and Artificial Intelligence education. Its key personnel were Anthony Goldbloom and Jeremy Howard. Nicholas Gruen was founding chair succeeded by Max Levchin. Equity was raised in 2011 valuing the company at $25 million. On 8 March 2017, Google announced that they were acquiring Kaggle.
FAQs
Where can I find my certificates?
After you complete a course, navigate to Kaggle Learn Courses homepage. You should see two tabs: Active and Completed. Click on Completed. Every course that you have completed should now appear in the course listing, along with a View Certificate button that navigates to your certificate.
How can I share my certificate with my social network?
You can easily share your certificate with your Twitter or LinkedIn followers by clicking on the social sharing links on your certificate page. This is a great way to showcase your new skills!
After completing a course, what else can I do?
After completing a course, it's time to start building a portfolio of your own projects. Kaggle Learn Courses are designed to quickly introduce you to essential topics and orient you to the Kaggle platform, so that you can then use what you've learned to build your own projects on Kaggle. Begin by selecting a Kaggle Competition or Dataset that interests you. For inspiration, check out Notebooks that other users have written.
Kaggle Website : https://www.kaggle.com/learn
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