Thank for sharing👍
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!
Thanks for making this video. Yes, do the next video in python.
what an episode ONCE AGAIN!!! You guys are tremendous!
This is the video I've been looking for. Thank you!!
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 the upload! It is a wonderful video for a beginner like me.
Awesome presentation to you both! Have her on more, very pleasant to listen to, very informative...Go KagGoo!
How to win a kaggle competition under 20 mins
Great video! I like this long version of AI Adventures.
Thank you for the video!
Hi how do I save my work and come back to it later in the current version of the kernal in Kaggle??
How did you get those many stickers? Please tell
Great Video, Thanks for making!
thank u for the tutorial on Kernels , thumbs up
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.
thanks a lot for sharing this video
Very useful!
@NickKartha