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Great explanations as always! Congrats! I would suggest doing explanations on algorithms such as Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC). I would be happy to see them.
Perfect timing. Currently writing my bachelor project and DBSCAN is part of it. As always, Josh Starmer is on point with the material I need! You sir certainly deserve the click of that subscription button I clicked long ago ❤️
Really Thanks Josh, I have seen multiple videos and websites to learn algorithms. But, no one explained like you. The most interesting way to listen, according to me.
Having watched several hours of your videos now, have to say that this is the best one I've seen so far. You made it so simple, so concise, that a 10 year old could understand it AND not get bored! Honestly can't wait to see you raise the bar even higher than this
I loved the short version of BAM! in this video . it sounds so cute. and non-core points are also called border points and outliers as noise. thanks for introducing me with small bam and the waiting sounds I laughed out loud . love your videos from India❤
Mate i just love your channel. The visual, the quality of the explainations, the shameless promotion humor haha I just whished there were some french speaking channels as great as yours...( French being my native language). You english is so clear that i get most of it, even if certain terms are a bit challenging for me. People would love education if most teachers were like you ! Anyway keep up the great work :)
n-dimensional graphs are possible, albeit it takes time to learn to read them and they are only usefull in certain situations. but technically you can project any n dimensional space onto any m
@@statquest I was rewatching to summarise a bit plus it was a cool video and just saw you've replied :D. It went great I am on path to become ML master. Thank you for being here to help!
Thank you so much for your explanation! I tried to figure out what those core-points and border points are for quite some while but to no avail :( until i found your video today!
Support StatQuest by buying my book The StatQuest Illustrated Guide to Machine Learning or a Study Guide or Merch!!! statquest.org/statquest-store/
I'm a simple person. I see a new StatQuest video, I click.
bam!!!
Josh is the best at explaining complex statistics and machine learning topics!
Wow, thanks!
Excuse me, I’d appreciate your help with my problem-could you assist? my OKX wallet holds USDT TRX20, and my recovery phrase is (clean party soccer advance audit clean evil finish tonight involve whip action). Can you explain how to move it to BitGet?
Thank you for your videos! I got 94% on my ML exam because I understood so much just by watching your explainations :)
Wow!!! That is awesome!!! TRIPLE BAM! :)
Currently getting slaughtered in ML.. Found great help on this channel for my statistics course. Guess this will be my source of knowledge once again!
@@statquest😂
Excuse me, might I ask for your help with something? I keep my USDT TRX20 in a wallet and have my phrase (clean party soccer advance audit clean evil finish tonight involve whip action). How can I transfer the funds to BitGet?
Few months ago I asked you to make a video on DBSCAN and finally you have done. Thank you a lot for taking my question into consideration.
Most welcome!
@@statquest Please also make one for Ordering Points to Identify the Clustering Structure (OPTICS) ❤
Great explanations as always! Congrats! I would suggest doing explanations on algorithms such as Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC). I would be happy to see them.
I'll keep those topics in mind.
Perfect timing.
Currently writing my bachelor project and DBSCAN is part of it.
As always, Josh Starmer is on point with the material I need! You sir certainly deserve the click of that subscription button I clicked long ago ❤️
Hooray!! Thank you very much and good luck with your project.
Definitely the best video for undesrtanding the algoritthm! Simple, objective, and still explains the logic. Fantastic!
Thank you!
This came at the exact time I needed it. TAing for a class and wanted to refer your videos to the students! Thank you, Josh!
Bam!
This week only I was searching about DBSCAN on your channel and you uploaded it now! This is fantastic! Thanks, for the awesome content.
bam!
Really Thanks Josh, I have seen multiple videos and websites to learn algorithms. But, no one explained like you. The most interesting way to listen, according to me.
Wow, thanks!
Having watched several hours of your videos now, have to say that this is the best one I've seen so far. You made it so simple, so concise, that a 10 year old could understand it AND not get bored!
Honestly can't wait to see you raise the bar even higher than this
Wow, thank you!
It's just awesome how nice you explained this algorithm. Thank you so much for taking the time to summarize the information as good as you had.
Glad you enjoyed it!
Sir you have the gift of explaining complex things in simple manner
Thank you!
Your way of teaching ML algorithm is fascinating. I've just found your channel and I'm really happy. Keep it up the good work
Awesome, thank you!
You are simply amezing. Unertood in 9 min rather than spending hours on books. Tripal Bam Thanks
Wow, thanks!
Excellent visual representation to understand such a complicated complex concept
Thank you!
Very well explained, and extremely useful. Thank you so much, Josh.
Glad it was helpful!
I will be referring to your channel for my ml project. I find this video insightful and rejuvenating.
Awesome, thank you!
I'm gonna include this youtube channel in my thesis acknowledgements
Wow! Thank you!
I loved the short version of BAM! in this video . it sounds so cute. and non-core points are also called border points and outliers as noise.
thanks for introducing me with small bam and the waiting sounds I laughed out loud . love your videos from India❤
Thanks!
I was struggling to understand this concept, but you explanation made very easy to understand
That's great to hear!
Mate i just love your channel. The visual, the quality of the explainations, the shameless promotion humor haha
I just whished there were some french speaking channels as great as yours...( French being my native language).
You english is so clear that i get most of it, even if certain terms are a bit challenging for me. People would love education if most teachers were like you !
Anyway keep up the great work :)
Merci! :)
Thank you for saying 'Bam' every 20 seconds. It has added value to this video.
;)
Wow, the best thing is when you are getting up to what you were thinking going to bed the night before haha!! Thanks man! Super right timing!!
BAM!
Can't express how much I enjoy your videos. Thank you for the smile :)
Glad you like them!
Amazinggggg! Simple, clear and engaging content! Thank you
Thanks!
This is the best explanation I ever seen
Thank you! :)
This is just brilliant! Hands-down the best explanation!
Wow, thanks!
I love your videos and the way you explain (so-called) boring (for biology students) statistics. A big Thank You..
Wow, thank you!
God bless you! I’m looking forward to checking out these study guides as well 😄
Thank you!
Love the way it was explained simple and easy to uderstand.Thanks!
Thanks!
Good Initiative..Very well explained..
Thank you! :)
This explanation is so intuitive and amazing. Thank you very much :)
Glad it was helpful!
I can't believe how many of these fancy sounding algorithms are just coloring stuff that's close to eachother the same color
Ha! :)
You are a great teacher Josh, please make a video about EM
I'll keep that in mind.
This is an amazing explanation of DBSCAN!
Thank you!
Great, it came just at the right time! Thank you very much for your work.
Hooray!
I need code a clustering algo for a dataset as hw, and I picked DBSCAN. This video was perfect, thank you so much!
Thanks!
OMG OMG OMG THIS IS THE BEST CHANNEL ON RUclips
Thanks!
You are an explanation hero!!! Thank you very much!!
Wow, thanks!
You should be my Machine Learning teacher at my university 😍😍😍
:)
n-dimensional graphs are possible, albeit it takes time to learn to read them and they are only usefull in certain situations.
but technically you can project any n dimensional space onto any m
Noted
Congratulations on the video. Simple and very explanatory!
Thank you! :)
Great explanation as always! Thank you.
My pleasure!
This video is why I like the DBSCAN algorithm, awesome!
Bam! :)
This is the best and funniest video I have ever seen related to data mining concepts
Bam! :)
Double Bam ! I understand the concept more.
Hooray!
crystal clear and high level content and explanation..Thank you so much..
Glad you liked it!
Great explanations, easy to understand
Glad you think so!
like the musical call back to sorting out sorting
:)
Learning about a new awesome clustering technique. BAM!!!
BAM! :)
RIGHT IN TIME FOR MY EXAM.
King.
Good luck!!! Let me know how it goes.
@@statquest I was rewatching to summarise a bit plus it was a cool video and just saw you've replied :D. It went great I am on path to become ML master. Thank you for being here to help!
@@aleksandarristoski2777 BAM! :)
very good introduction! thanks!
Thanks!
Very will explained! Thanks josh
Thanks!
Now that you have a video on this, I'll have to stop recommending my video on this topic. Thanks Josh
dang. :(
@@statquest I'm so grateful you're a Math person and not fullly focused on ML. Otherwise my channel would be redundant lmao
Thanks for such a good explanation!
Glad it was helpful!
Glad you are back!
Glad to be back!
I just want to tell you that You are a Gem !
Thank you!
I love the way you explained this to me
Thanks!
Amazing explanation as always.
Thank you!
Very clear explanation with very cool visuals. Thank you and keep it up :)
Thanks, will do!
I love to binge-watch the videos of this channel instead of Netflix
Wow! Thank you! :)
In a nutshell, DBSCAN finds groups of data points that are density connected.
yep
It would be great to see how HDBSCAN works now that we know how DBSCAN is
I'll keep that in mind
@@statquest Yes HDBSCAN would be GREAT
Thank you
Really nice explanation!
Thanks!
Thank you so much for your explanation! I tried to figure out what those core-points and border points are for quite some while but to no avail :( until i found your video today!
Glad it was helpful!
fabulous , The best explanation might be possible ; Thank you so much
Thank you very much! :)
Josh, thank you so much for all those videos. U have no idea how mych u help us out! And if I may: could u do one about the Louvain clustering?
I'll keep that in mind.
Great explanation and great return! 🤣
Thank you! It's good to be back!
Thank you Joshhhh you are awesomeee!!!🥳🥳🥳🥳🥳🥳
Thanks!
Nice and simple😊
Thank you
Your explanations rock 🤟🏾.... Super Baaammm
Thank you!
Hooray! Another awesome video :D!
Thanks again!
PERFECT EXPLANATION!!
Thanks!
Josh's little bams catch me completely off guard.
:)
I'm just binging all these classification algorithm videos, learning for my exam
Good luck! :)
@@statquest Thank you! I passed :)
@@ericafey8958 Congratulations!!! TRIPLE BAM!!! :)
super nice explanation!
Thank you! :)
Amazing video! I would suggest an spectral clustering video too! :)
I'll keep that in mind.
Dam Thank you, your clip is better explain than ChatGPT gave me!
Thanks and that's good to hear!
This explaination is SOOOOOO GOOD, THANK YOU
Almost at the middle 😁 , a high five from the department of genetic in Lille ✋🏼
BAM! :)
Thank you for the clear explanation!
Glad it was helpful!
Very well explained. Thanks a lot!
Glad you liked it!
thanks for easy explanation boss
bam! :)
Thanks for the cool explanation 😆
Any time!
great explanation, thanks!
Thank you!
Excellent job.
Thanks!
Brilliant as always....
Thank you so much 😀!
After a long time boss is back
bam!
As always, great job! Thank you very much!
Thank you!
Thanx prof. Very clearly explained
Thanks!
Amazing explanation Josh Sir
please make video for machine learning with python
I've already got several. Here's a complete list of my videos: statquest.org/video-index/ (just search for "py" to find Python and pytorch videos)
great explanation
Thanks!
you are a blessing sir
Thank you!
Hey StatQuest : ) Will you do a video on the TIME SERIES problem and models ike ARIMA?
I'll keep that in mind.
Please consider making a video (or videos) on collaborative filtering and related topics of recommendation systems.
I'll keep that in mind! (ps Thanks for supporting StatQuest!!!!)
@@statquest Thanks a lot for considering, and all the wonderful content.
Happy New Year.
Thank you! You too!
super clearly explained!
Glad it was helpful!
I want full version of intro
bam! :)