Thanks for making this video. Yes, do the next video in python.
can anyone tell me the definition of kernel in data science here briefly ?
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.
12:05 I see a smiling clown with a triangular hat flipping the bird in the spacing of that dataset.
This is the video I've been looking for. Thank you!!
Hi how do I save my work and come back to it later in the current version of the kernal in Kaggle??
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!
what an episode ONCE AGAIN!!! You guys are tremendous!
How did you get those many stickers? Please tell
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.
Thank you for the video!
Very useful!
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!
Hi, is there a python version of this video? Thanks
Good initiative.
Great video! I like this long version of AI Adventures.
thanks a lot for sharing this video
cool host!
@mohamedkarim-p7j