How to Make a Data Science Project with Kaggle
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It can take a lot of tools to do data science, but Kaggle is a one-stop shop that provides all the tools to share and collaborate on data science projects. In the episode of AI Adventures, Yufeng is joined by Megan Risdal, product lead for datasets at Kaggle. They’ll teach you how to make a data science project with Kaggle, and more!
Associated blog post → http://bit.ly/2u18Tyh
Get started with Kaggle → https://kaggle.com/datasets
Introduction to Kaggle Kernels → http://bit.ly/2z409xm
[Dataset] LA County Health Code Violations → http://bit.ly/2MFwyvO
[Kernel] Exploring LA County Health Code Violations → http://bit.ly/2KIBz6e
Watch more AI Adventures → http://bit.ly/AIAdventures
Subscribe to the Google Cloud Platform channel → http://bit.ly/GCloudPlatform
#AIAdventures
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Why would a data scientist use a Macbook??
Thank you for the video!
cool host!
Does anyone else wish there was a way to be recognized for your research without a graduate degree? I am sure there is a lot of great (and replicable) work done especially in the social sciences/applied mathematics, that will never get read because it is not conducted by someone with a PhD or is submitted for publication.
Very useful!
Hi how do I save my work and come back to it later in the current version of the kernal in Kaggle??
Had to stop at (11:24) because I use python
👍
Can we write manually in .CSV files and upload on it ?
How did you get those many stickers?
Please tell
I am a simple man I see a pretty woman, I click on video, I hit like, I comment.
Are these MacBooks 15 or 13 inch?
Awesome presentation to you both! Have her on more, very pleasant to listen to, very informative…Go KagGoo!
Great Video, Thanks for making!
can anyone tell me the definition of kernel in data science here briefly ?
Good initiative.
whats special in this video?
what's with the horrendous stickers
ya, thats right…
Erm….
Thanks for the upload! It is a wonderful video for a beginner like me.
i can't keep up with all the new stuff Google is coming up with. 🙂
thank u.. it is very helpful to beginners…………
thanks a lot for sharing this video
2:15
Fantastic primer about the amazing developments at Kaggle! This will greatly facilitate the data science community's need for collaborative modeling. Thanks so much! Megan really inspired Kaggle usage, with the example dataset. I'll be visiting and interacting at Kaggle, a lot more, for sure. Megan, arguably the most beautiful data scientist in the world, thanks so much again for drawing attention to the amazing accomplishments at Kaggle. Inspire on!
thank u for the tutorial on Kernels , thumbs up
Hi, is there a python version of this video? Thanks
Thanks for Nice Video.
Where can I buy those sticker you have on your laptop, I like it.
what an episode ONCE AGAIN!!! You guys are tremendous!
In the view of "Big Data", once we have a large raw data file, does using pandas, numpy processing data on Google Cloud Storage have a comparable performance with Hadoop HDFS and Spark?
And in the view of "Machine Learning", how does sklearn compare with Spark-MLlib ?
Thank you.
Thanks for the video!! I love these walkthroughs for newbs like me and yes please do other vids in python as more of us are familiar with that.
Thanks for making this video. Yes, do the next video in python.
Great video! I like this long version of AI Adventures.
Thanks a lot