Six Data Science Podcasts You Need to Listen to
Kaggle is a popular platform host to many data science competitions, often offering monetary prizes for winners which propose the best solution to the various problems posted by a multitude of organisations.
Despite the intimidating perception of the competitive platform, boasting hundreds of entrants with varying levels of experience, Kaggle competitions are often one of the first suggestions mentioned for current and aspiring Data Scientists alike to pursue and gain valuable experience to develop themselves and their skills.
This quick guide explores which categories to look out for, the benefits of entering Kaggle competitions and some handy tips from our Senior Data Scientist, Kevin Lemagnen.
Kaggle competitions typically fall under the following categories:
Image: A blog article by the 2nd place winner of the 2017 Data Science Bowl. Source: Blog.Kaggle.com.
Whilst Python and R are popular on Kaggle and the general Data Science community, we recommend Python as it can be used for many other tasks such as building a website, automating tasks, and more.
You can click here to view popular kernels authored by various users to comprehensively guide you whilst you’re still getting to grips with the site.
That’s it from us, feel free to leave us comments below to let us know how your Kaggle ventures go! We’d love to hear about them.
Whether you're starting out, or you're looking to freshen up your portfolio with some new projects, our Applied Data Science Bootcamp (London) is perfect for those looking to upskill, reskill or get started in Data Science.
Alternatively, we have the Applied Data Analytics Bootcamp for those that haven't got much experience in programming in Python.
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