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  1. Tweet épinglé
    28 mai

    Kaggle is famous for machine learning competitions. Less well known is our datasets platform, which is a treasure-trove of great datasets (). Over the coming months, I'm going to be Tweeting interesting data from it to showcase what's there.

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  2. 9 nov.

    Playing around with a coding project and ran into a tough caching issue. Sharing my solution in case it's useful to others: take out the trash, play with my son, make a coffee and have a snack. Solution worked perfectly!

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  3. 22 sept.

    Among other things, this makes it much easier to maintain regularly updating datasets on Kaggle's dataset platform.

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  4. 14 sept.

    Kaggle's dataset platform passed 100K datasets last month If you're looking for datasets for your ML and data science projects, this is a great place to look

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  5. 11 sept.

    Really nice post from Kaggle Grandmaster on how to get started in data science

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  6. 28 août
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  7. 28 août

    During the global peak in January 2021, COVID was more deadly than heart disease and cancer in those countries

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  8. 28 août

    Was interested in better understanding COVID-19 compared with other leading causes of deaths. At the moment, COVID-19 is less deadly than heart disease and cancer but kills more often than road deaths and suicide in countries like the US, UK and Israel

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  9. 25 août

    It draws heavily on 's Github repo but adds in some extra sources: (They have done much of the heavy lifting.)

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  10. 25 août

    Open to adding more columns. Feel free to make requests in this thread

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  11. 25 août

    The panel makes it easy to do interesting analysis. Here's an EDA notebook I wrote for inspiration:

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  12. 25 août

    I've started maintaining a rich country-level COVID panel on Kaggle It has 107 columns, including metrics like cases and deaths, vaccination rates, percentage of sequences that are delta strain, mobility data and more. It updates four times per day

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  13. 20 août

    . is a really nice way to build data-driven apps. It's a way to build React-like experiences with the familiarity of the PyData ecosystem Nice to see an ecosystem developing around it

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  14. 18 août

    This children's book explaining Apache Kafka is amazing! I've been interested in learning more about data engineering technologies. This was a nice format to learn about event streaming.

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  15. 17 août

    The competition has been a longstanding side project for (from before he joined the Kaggle team) along with , Isa and David. There's a huge amount of thought behind it: From creating a novel sim to choosing a palette that works for the color blind.

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  16. 17 août

    A new simulation challenge called just launched on Kaggle: This is latest in a series of simulation challenges which aim to give our community opportunities in newer areas of AI such as reinforcement learning.

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  17. a retweeté
    5 août

    🚀Are you a python beginner? Do you want to learn machine learning? Do you want to take part in Kaggle competitions and build your portfolio? Then you must start with 30 days of machine learning by Kaggle. Check out my playlist 1/N 🧵

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  18. a retweeté
    2 août

    Slide from Dr. Fauci at WH COVID-19 briefing comparing reduced risk of COVID disease, hospitlizations and death in vaccinated versus unvaccinated in US.

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  19. 2 août

    Five years ago, all I heard from companies was "it's impossible to hire data scientists". I hear that much less often today. Really exciting to see so many entering the profession.

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  20. 2 août

    113K users sign up to "30 days of ML": If everyone completes, that's 113K people who start August knowing no data science end August having trained a bunch of machine learning models

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  21. 2 août

    Some helpful tips to save memory when working with a larger dataset using Pandas and a Jupyter Notebook Techniques demonstrated on a 4GB Kaggle dataset

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