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XGBoost: How it works, with an example.
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4 жыл бұрынIn this excerpt, we cover perhaps the most powerful machine learning algorithm today: XGBoost (eXtreme Gradient Boosted trees). We'll talk about how they work, how to tune their parameters, and why they are so effective. Then, we'll apply it to the Iris data set to see it in action using a Jupyter notebook with Python.
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@sb-jo2ch 3 жыл бұрын
You have the _perfect_ voice and narration, something which I have missed in every other popular ML video lectures and courses.
@robloxgamercool 3 жыл бұрын
I wish you were my teacher when i studied this in school..very clear and concise
@daveherring1765 Жыл бұрын
the banyan tree is a perfect analogy. thanks! great video.
@srikarkodati961 3 жыл бұрын
by far the best xgboost tutorial i have seen. Well done!
@ishana6083 4 жыл бұрын
"it's so easy to use ,it's almost disturbing!", I literally LoL'ed at that! :D
@stevenlomon Жыл бұрын
Sooooo smooth and to the point, wonderful video!!
@valeriedrew6175 Жыл бұрын
Well explained. Very clear and easy to follow.
@shihamfarook7291 9 ай бұрын
Well explained, Thank you
@ramnareshraghuwanshi516 4 жыл бұрын
As your title says.. where did you explain "How it works"? you just explain pros and cons of model.
@studyaccount9662 2 жыл бұрын
Excellent demonstration, thanks!!!
@ekleanthony7997 3 жыл бұрын
Really Nice video, great explanation. thanks!
@taghredashry4633 4 жыл бұрын
Very clear I love this tutorial!
@almerchant7595 2 жыл бұрын
could you kindly provide the link for the full playlist? thx
@jisanhasnat6770 2 жыл бұрын
Awesome explanation!
@davidd2702 2 жыл бұрын
Thank you for your fabulous video! I enjoy it and understand well! Could you tell me if the output from the xgb classifier gives 'confidence' in a specific output (allowing you to assign a class) ? or is this functionally equivalent to statistical probability of an event occuring?
@gowiththeflo59 2 жыл бұрын
The model outputs the predicted flower classes (which were converted from their names to index values 0, 1 and 2). He then uses accuracy_score to measure what % of predictions were correct and gets 1.0 ratio (100% correct predictions). In this case XGBoost is being used as a classifier (which flower type 0, 1 or 2), not doing regression (predicting a probability or number like the predicted price of a House given some features about the house, for example)
@afreshpineapple 3 жыл бұрын
In other words, its the wet dream of every Data Scientist?
@cutyoursoul4398 3 жыл бұрын
Nice clear video, thanks :)
@chalamrani1923 6 ай бұрын
Where do i get the course material to run the algorithm with sample data . I purchased the Udemy course as well but unable to find the Ml course folder.. Can you please guide to get that information
@SergioPolimante 2 жыл бұрын
this video openned up a recursive dependence that took me to watch 213402 more videos. damn
@charlesglah5267 4 жыл бұрын
very good.
@aarondelarosa3146 Жыл бұрын
Why don't you try to forecast stock price using xgboost?
@dannyrodin1151 2 жыл бұрын
Great video, but i'd wish you'd bothered to thoroughly explain the hyper parameters.
@inv_master735 2 жыл бұрын
Character In the video It's great, I like it a lot $$
@shwetaredkar734 4 жыл бұрын
If you could execute it using 10fold cv than it would be great. thanks.
@rosieshi1354 4 жыл бұрын
At least it is good introduction for beginners
@alexanderkis9041 3 жыл бұрын
so how it works?
@imtiazshakhor8937 3 жыл бұрын
Why don't you upload the notepad !
@DanKeeley 4 жыл бұрын
not in a critical way, but is this a sales pitch for xgboost? :) hahhaha
@beibit-ds Жыл бұрын
This is more "How to use it" instead of "How it works"
@SaraSilva-zu7wn 4 жыл бұрын
This is "How to use it", not "How it works".
@vincentjean6756 3 жыл бұрын
and that is perfectly fine!
@soheiltehrani3792 Жыл бұрын
iris dataset?!!! Really?!
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