Very organized and clear with excellent examples that make it so easy to understand. Thank you!
@riti_joshi6 ай бұрын
I never comment on any KZbin videos, but I am compelled to do here, because I learned most of my analyses for my dissertation following your tutorials. You're such a great tutor. Thank you so much.
@DigitalSreeni6 ай бұрын
Wow, thank you!
@mhh50022 жыл бұрын
Very well explained, sir. It was intuitive for beginners. The analogies are interesting as well.
@DigitalSreeni2 жыл бұрын
Glad to hear that
@caiyu5382 жыл бұрын
Perfect tutorial, I am using XGBoost and random forest to analyze some work. Perfect tutorials for me. Always appreciate your continuous efforts to share your knowledge through youtube.
@ashift323 жыл бұрын
Very well explained, clear and concise. Thanks for taking your time
@DigitalSreeni3 жыл бұрын
You're very welcome!
@Fran171UAАй бұрын
An excellent tutorial! Thank you very much! 🙏
@sudippandit66763 жыл бұрын
Very organized and straight forward! Waiting other videos. Thank you for sharing this knowledge.
@andyn6053 Жыл бұрын
This was very clear and useful! Do u have any link to your code? Also, could xgboost be used for linear regression aswell?
@grantsmith36532 жыл бұрын
Sreeni said we need to normalize, but I always thought we didn't need to do that with trees... Am I confused on something? Thanks for the video!!
@DrNuyenVanFaulk2 ай бұрын
I really appreciate this explanation! Thank you!
@semon006 ай бұрын
Wow your explanotion is awesome!!! Dont stop plz
@Ahmetkumas3 жыл бұрын
Thanks for the video and effort. Can you make a time series video using xgboost, or something with multiple features(lags, rolling mean, etc..)
@axe86310 ай бұрын
XGBoost with Regularized Rotations and Synthetic Feature Construction can approximate Deep NN deepness
@kakaliroy47473 жыл бұрын
The example of bagging is so funny and I can fully relate
@farhaddavaripour46192 жыл бұрын
Thanks for the video. Something I noticed in the figure above that you might have missed is that in the figure you show the most evolved species has lighter hair than less evolved which could interpret a false impression that species with lighter hair are more evolved. It would be great if you could adjust the figure.
@rezaniazi43523 жыл бұрын
thanks for the video what we have to change if we want to use XGBRegressor() insted if classifier ? xgboost documantation is so confusing !
@sbaet3 жыл бұрын
can you make a quick video on normalization and standardizetion for a image dataset
@venkatesanr94553 жыл бұрын
Thanks, Sreeni sir for your valuable and knowledgeable content. Also, waiting for the next semantic segmentation series and also discusses the hyperparameters and their tuning, Time series analysis that will be highly helpful.
@mouraleog Жыл бұрын
Awesome video, thank you ! Greetings from Brazil!
@DigitalSreeni Жыл бұрын
Thanks for watching!
@VarunKumar-pz5si3 жыл бұрын
Awesome Tutorial, Glad I got a great teacher..Thank you...
@evazhong44192 жыл бұрын
your explanation is so interesting haha, it helps me a lot understand the material
@omeremhan2 жыл бұрын
Magnificant!!! Thanks for clear explanation Sir.
@drforest2 жыл бұрын
Awesome comparison. Super thanks
@barrelroller8650 Жыл бұрын
It's not clear where did you get a dataset in a CSV format - the .zip archive from provided link includes only `wdbc.data` and `wdbc.names` files
@sathishchetla3986 Жыл бұрын
Thank you so much for your explanation sir
@kangajohn3 жыл бұрын
if your explanations were a kaggle competition it would be top 1%
@vzinko Жыл бұрын
Another case of data leakage. You can't scale X and then split it into test and train. The scaling needs to happen after the split.
@Beowulf245 Жыл бұрын
Thank you. At least someone understands.
@andyn6053 Жыл бұрын
So this video is incorrect?
@Lodeken Жыл бұрын
Wow that analogy! 😂 Amazingly apt lol!
@RealThrillMedia Жыл бұрын
Very helpful thank you!
@SP-cg9fu Жыл бұрын
very useful video ! Thank you!
@kangxinwang38863 жыл бұрын
loved the arrange marriage example! Made it very intuitive and easy to understand. Thank you!
@multiversityx Жыл бұрын
What’s the method name? When are you presenting at NeurIPS? (I’ll be attending it :)
@tannyakumar2843 жыл бұрын
Hi. I have a 1500x11 dataset and I am trying to see which out of cognitive ability, non-cognitive ability, family structure, parental involvement, and school characteristics predict academic performance (measured in terms of grades ranging from 1-5). Should I be using XG Boost for this problem or random forest? Thanks!
@vikramsandu60543 жыл бұрын
Well explained. Thank you so much for the video.
@DigitalSreeni3 жыл бұрын
Glad you liked it
@evyatarcoco3 жыл бұрын
A very useful episode, thanks sir
@Bwaaz Жыл бұрын
very clear thanks :)
@v1hana3502 жыл бұрын
I have a question about the Xgboost algorithm. The question is how parallelization works in the Xgboost algorithm and explain me with an example.
@Frittenfinger11 ай бұрын
Nice T-Shirt 😃
@abderrahmaneherbadji54783 жыл бұрын
thank you very much
@andromeda15343 жыл бұрын
Looks like when you demo-ed random forest, you didn't comment out the xgb line, so you actually showed the fitting for xgb twice with the same results.
@longtruong99353 жыл бұрын
dataset in the UCI link not avaiable now. could any one can provide update link?
@ghafiqe2 жыл бұрын
Perfect
@darioooc Жыл бұрын
Great!
@3DComputing3 жыл бұрын
You're worth more money
@DigitalSreeni3 жыл бұрын
I am priceless :)
@ahmedraafat87692 жыл бұрын
The dataset has been removed from the website. is it possible to upload it?
@DigitalSreeni2 жыл бұрын
Just google search for the keywords and you'll find it somewhere, may be on Kaggle. I do not own the data so I cannot share it, legally.
@khairulfahim2 жыл бұрын
Where can I get the exact .csv file?
@ramakrishnabhupathi49953 жыл бұрын
Good one
@DigitalSreeni3 жыл бұрын
Thank you! Cheers!
@user.................4 ай бұрын
bro trying to share about life n forgot wts hes teaching 🤣🤣🤣🤣 only were i gt complete idea about xgboost tq