andreatesta •Posted on Latest Version•4 hours ago •Options 1
This's gold
Jerry •Posted on Latest Version•5 hours ago •Options 1
Amazing! Thank u!
Vishal Agarwal •Posted on Latest Version•6 hours ago •Options 1
Wow...Awesome! So helpful! :)
minghigh •Posted on Latest Version•9 hours ago •Options 1
Awesome, heihei
Vijay •Posted on Latest Version•11 hours ago •Options 1
Good informative post !!! Thank you!
Shyamprasad NARAPAREDDY •Posted on Latest Version•16
hours ago •Options 1
Very nice kernel, so much information at one place. Thanks.
Kirgsn •Posted on Latest Version•19 hours ago •Options 1
Loving this glossary!
agisga •Posted on Latest Version•20 hours ago •Options 2
Thank you! This is really great! One minor suggestion: Could you include a table of contents in the beginning that links to all the different sections.
sban Kernel Author•Posted on Latest Version •8 hours ago •Options 0
Thanks for the suggestion. Will add.
JeremyLane •Posted on Latest Version•21 hours ago •Options 1
If I can be so bold as to suggest my own kernel.. This kernel demonstrates good methodology and common mistakes when doing CV alongside resampling techniques, and shows how to write a custom metric (in this case, AUPRC) for sklearn: www.kaggle.com/lane203j/me…
yyll008 •Posted on Latest Version•a day ago •Options 1
Awesome work!
Thank you!
jatin raina •Posted on Latest Version•a day ago •Options 1
very good and informative
AdityaVamsiKiran •Posted on Latest Version•a day
ago •Options 1
This is just brilliant and really helpful. Especially for newbies like me.
Cahit Demir •Posted on Latest Version•a day ago •Options 1
So great, for saving time in search.
MaxZhao •Posted on Latest Version•a day ago •Options 1
Thanks a lot for posting!
Gengis •Posted on Latest Version•a day ago •Options 1
Great work ! But loads of reading.
Amir Shehzad •Posted on Latest Version•a day ago •Options 1
wow. I have tried to search best kernels by using search button. I never though they can searched with the code also and in much better way. thanks for the kernel.
Yun He •Posted on Version 6•a day ago •Options 1
awesome
Ашрапов Инсаф •Posted on Version 6•2 days ago •Options 1
Are you willing to keep the kernel up to date?)
sban Kernel Author•Posted on Version 6 •2 days ago •Options 1
YES. I have updated it with more content and an extra column for language.
Gabriel Preda •Posted on Version 6•2 days ago •Options 1
Great Kernel. And great idea.
StPinHH •Posted on Version 6•2 days ago •Options 1
Thanks for the great work! I am exactly looking for an ALL-IN-ONE reference page!
Nathan Lauga •Posted on Version 6•2 days ago •Options 1
Great kernel !
Pandula Priyadarshana •Posted on Version 6•2 days ago
•Options 1
Extremely useful! Thanks a lot for spending time to work on this!
Enricospada •Posted on Version 6•3 days ago •Options 1
UP! UP! UP!
Aditya Soni •Posted on Version 6•3 days ago •Options 1
Never knew that People use Bokeh also on Kaggle (it's mostly Seaborn, maatplotlib and Plotly mainly) !! Thanks a lot !! But this is not the end for sure... There are still many Kernels which haven't got listed maybe..
Also I am missing The Pipeline Section..
James Valencia •Posted on Version 6•3 days ago •Options 2
Very clean code and design! Thanks for sharing!
Just a small note--You have TensorFlow listed twice under 7. ML Tools.
Somin Wadhwa •Posted on Version 6•3 days ago •Options 1
One stop shop! Great collection! :D
Indranil Bhattacharya •Posted on Version
6•3 days ago •Options 1
This is extremely helpful. Would be great if you can add another column for language (R/Python)
sban Kernel Author•Posted on Version 6 •3 days ago •Options 1
Its Updated in the latest version. Thanks
cloty •Posted on Version 6•3 days ago •Options 1
I learned a lot. Thanks:)
GSD •Posted on Version 6•3 days ago •Options 1
A one stop shop for all the references for the data science algos based on the views,votes,popularity.This is going to be super useful for those who want a reference material for that particular algo.Thanks again.Thanks Kaggle for bringing this dataset.
Anurag Sharma •Posted on Version 6•3 days ago •Options 1
Great collection. Thanks for sharing :)
KateWang •Posted on Version 6•3 days ago •Options 1
this's surely helpful!
bangda •Posted on Version 6•3 days ago •Options 1
Awesome kernel! And look forward to seeing your new kernels in future competitions!
Vikas Kumar •Posted on Version 6•4 days ago •Options 1
Thanks Shivam !! All your kernels and AV blog post are really very helpful.
sban Kernel Author•Posted on Version 6 •4 days ago •Options 1
Thank you so much Vikas.
Esteban •Posted on Version 6•5 days ago •Options 1
That's awesome. Add to my favorites. Thank you
rupesh prasad •Posted on Version 6•5 days ago •Options 1
Thanks a lot for the awesome collection
dust •Posted on Version 6•5 days ago •Options 1
Its precious. Forked it.
Pavan Raj •Posted on Version 6•5 days ago •Options 1
Thank you ... helpfull for reference
STATECK •Posted on Version 6•5 days ago •Options 1
Thank you. this is very helpful
Simn •Posted on Version 6•5 days ago •Options 1
Thanks a lot! Super helpful to get started.
Devaraju Vinoda •Posted on Version 6•5 days ago •Options 2
Good collection
Sjin •Posted on Version 5•5 days ago •Options 1
Very helpful for newbies to Learn & understand the Kaggle Kernels. Thanks Sban!
Heads or Tails •Posted on Version 2•11 days ago •Options 6
Nice work! 2 quick comments:
-
How exactly is the ranking defined? Maybe it's super obvious and I'm missing it, but it seems to be a combination of votes, views, and comments. How are those factors weighted?
-
Could you include the language of the Kernel (i.e. R / Python)?
Thanks and have fun!
sban Kernel Author•Posted on Version 3 •10 days ago •Options 3
Thanks HoT,
- At this point of time, I have only taken the number of votes as the criterion. But I am planning to do a weighted average of views, forks, votes, and comments.
- Sure, Will add the Langauge as well :)
Erik Bruin •Posted on Version 4• 9 days ago• Options 0
There seems to be a sorting error if a person is in a list twice. See for instance Ben Hammer in Random Forest.
sban Kernel Author•Posted on Version 4 •9 days ago •Options 1
Yeah, I made a small change in the weighing method. Its fixed in the latest version
Megan Risdal Kaggle Team•Posted on Version 2 •11 days ago• Options 6
This is super meta! Great stuff. :)
Samrat P •Posted on Version 4•9 days ago •Options 1
Very helpful.. You always come up with innovative ideas like this...
Alex Hua •Posted on Version 4•9 days ago •Options 1
Very helpful to someone starting out!
THank you!
amrrs •Posted on Version 2•11 days ago •Options 3
You have really mastered the art of making HTML text out of Py code ;)
sban Kernel Author•Posted on Version 2 •11 days ago •Options 0
Thanks
ASHUTOSH KUMAR •Posted on Version 3•10 days ago •Options 1
A great collection. We may call it Index of Kaggle
Does it contain link to "semi-supervised learning" kernels?
Please add some link to some kernels on Ensembling and Stacking.
sban Kernel Author•Posted on Version 3 •10 days ago •Options 0
Thanks for the suggestions, These are updated in the latest version.
Bukun •Posted on Version 3•10 days ago •Options 1
Absolute gem!
Erik Bruin •Posted on Version 3•10 days ago •Options 2
A nice angle on the data! I like it ;-)
Quick question. Of course, I liked seeing one of my kernels in there ;-). However, a second look showed me that the title in the table (House Prices: Lasso regression and a detailed EDA), is slightly different from the real title (House prices: Lasso, XGBoost, and a detailed EDA). Any idea where this comes from (the link is correct)?
sban Kernel Author•Posted on Version 3 •10 days ago •Options 4
Thanks Erik.
This is because probably "House Prices: Lasso regression and a detailed EDA" is the title of an older version of the same kernel. What I will do is, I will pick the title of the latest kernel version. That should fix this.
Update : Its fixed in the latest version
Erik Bruin •Posted on Version 4• 9 days ago• Options 0
Yeah, seems likely. I changed the title a couple of times indeed.
Faraz Rahman •Posted on Version 2•11 days ago •Options 1
Awesome!!! This is gonna be super useful for me.... Thanks
Ayush Singh •Posted on Version 2•11 days ago •Options 1
Excellent Thanks
Ашрапов Инсаф •Posted on Version 6•2 days ago •Options 0 
