I am really thankful for your so great and understandable teaching about the topic. Also I appreciate your positive energy. Wish the best for you Tessa.
Amazing tutorial, Thank you! I have one question: How would you know when to use what if you can't visualize data since it has multiple features? -> use pca to reduce dimensionality then plot and then use un-reduced data to train??
It leaves me with more questions. These graphs must have some units or qualities for the axes. So you have two values, one for X and one for Y. How do you know (programmatically ) which cluster the point belongs to? You can't use the dendrogram (?, =tree?) because the clusters can be diagonal and a simple X or Y threshold won't work.
Very informative video Ms.Jones Can share light on example algorithms for Density and Distribution clustering. Like Kmeans for centroid and Hierarchical clustering for connectivity clusterings.
Thanks so much for this! It's really useful I am wondering if anyone has advice on how I could run a connectivity-based cluster analysis. I have a dataset that includes different VC firms and the companies they have invested in. I'd like to organize the data to see which companies overlap the most in terms of the investments they made. Is this possible in excel?
I see a LOT of compliments in the comments. I don't get it. I'm not the slightest bit convinced you understood even a single one of the topics you explained. Even the diagrams were clesrly ones you "regurgitated" from lectures no doubt RAMMED down your throat by teachers equally-confused but intolerant of being questioned by you or other students. And so you're now merely PROPAGATING the bad lessons you badly lesrned from bad teachers...all in an attempt to be perceived as "gurus". Gosh this is fatiguing. As a Data Scientist going back DECADES, I offer you this friendly challenge: START OVER. START EMPTY REGURGITATE NOTHING. I DARE you to stsnd at an EMPTY board and in your OWN words, your OWN illustrations attempt to explain those SAME topics. Then you'll realize whether you GENUINELY UNDERSTAND the concepts you're professing to know... ...or if you're just another parrot in an ever- growing FLOCK of parrots all making videos and claiming expertise, when in reality you just know how to "run some code" that someone else developed, and luckily you only have ro fool some custoneds who can't tell the difference... -old fart data scientist (since before Al Gore invented The Internet)
@@rohitnirmal1024 I suppose I deserved that, but I'll leave you with this: if all you seek is false praise from your buddies... ...I think you're capable of more. But go ahead - prove me wrong ;-)
So much needed to get an overview of a high-level classification of clustering algorithms.
I am really thankful for your so great and understandable teaching about the topic. Also I appreciate your positive energy.
Wish the best for you Tessa.
I just fell in love for 8.52 min when Tessa is teaching.
I understood every single thing in this video. I don't think I can say that for any data science video I've ever seen.
This is very underrated and this needs more attention also why'd you guys stop uploading ! :( We need more of this !
Thank you! Best introduction by details/time spent.
Thanks for this awesome explanation helped me in my DP100 Exam. Thanks from J&K India.
Amazon decoded, thanks for such clear and informative explanation. Your explanation is great in depth.👍
A great example for explanation. Really liked the teaching method. Subscribed.
Amazing tutorial, Thank you! I have one question: How would you know when to use what if you can't visualize data since it has multiple features? -> use pca to reduce dimensionality then plot and then use un-reduced data to train??
Have you ever found an answer to this question? I am curious as well.
I am curious too
use underlying assumptions of cluster generation processes
Have you found an answer?
Nicely explained........now I am clear about which method to use
It's so awesome, so understandable and easy to learn.
I hope watch more and more lecture from you.
Tnxfull
Same here. Waiting for detail course on Data Science
Data Science wednesday... love it ha ha.. Thank you for the video.
Truly nice explanation! Thanks!
Love that fleabag also teaches statistics ❤
This was really helpful!
so well explained. thank you, this video was really helpful!
This was incredibly clear!
This is excellent, do you have video on use case of all four analytic?
Very good stuff, just straight up understandable like it should be!!
Amazing explanation! Thanks!
Thank you; so very well presented!
It leaves me with more questions. These graphs must have some units or qualities for the axes. So you have two values, one for X and one for Y. How do you know (programmatically ) which cluster the point belongs to? You can't use the dendrogram (?, =tree?) because the clusters can be diagonal and a simple X or Y threshold won't work.
very helpful..................my DREAMS from Somalia
nice explanation. Would be much much better to have pros and cons of each of them and how expensive they are.
Keep up the good work I really love your content
Great great great explanation!!! You saved my life. Thank you soooo very much! and agree about very cool energies!! :)
It might help to say what variables you're plotting on the axes. :)
Keep doing good work Ms.
Thanks for the great review!
Fantastic explanation
Thanx mam it really help ful❤️
That was very good and helpful, thank you :)
this was really good. thank you
what are the exact names and tools for clustering methods in deep learning?
Excellent!. Well explained.
Very informative video Ms.Jones
Can share light on example algorithms for Density and Distribution clustering.
Like Kmeans for centroid and Hierarchical clustering for connectivity clusterings.
i was here to ask the same question
Nicely presented.
Very informative👍....where does K-Means clustering belong?
this is interesting. What happened to the other hierarchical methods that centroid belongs to?
Do you have more videos on Connectivity Clustering
Why did you stop to make a video?
I liked your content, and the explanation is straightforward to understand.
Please continue to make a video.
Perfect explaination
Great job!
very well explained, thank you for the video.. but just wondering why do we always have to pretend and assume in stats
Thanks so much for this! It's really useful
I am wondering if anyone has advice on how I could run a connectivity-based cluster analysis. I have a dataset that includes different VC firms and the companies they have invested in. I'd like to organize the data to see which companies overlap the most in terms of the investments they made.
Is this possible in excel?
Interesting question. Wish I had an answer to it!
Amazing, thanks!
very helpful, thanks heaps
Wodrful keep it up
Continue posting!
Well done!
Helpfull dear
Great video thanks!
Excellent!
Why did you stop posting videos
Good explanation
I am clustered. thank you
I wish she could be my instructor at my university.
Connectivity Clustering reminds me to Graph Database Technology...
Nice video
Thank you for your great explanation. Its easy to catch up 😊
is connectivity clustering = hierarchical clustering ???
very good
thank you for you time
Audio is really bad in this video, it gives me a headache however it is an excelent video.
Thanks a lot .
Very good explanation :)
Great
Thank you mam
I'm a little sad the last video is from 2018. I whish there were mre of these..
thank you!
thank you
Thanks
ill have my coming out as a fish people right here!
👍👍🌝
Supb
ty
I see a LOT of compliments in the comments. I don't get it.
I'm not the slightest bit convinced you understood even a single one of the topics you explained. Even the diagrams were clesrly ones you "regurgitated" from lectures no doubt RAMMED down your throat by teachers equally-confused but intolerant of being questioned by you or other students.
And so you're now merely PROPAGATING the bad lessons you badly lesrned from bad teachers...all in an attempt to be perceived as "gurus". Gosh this is fatiguing.
As a Data Scientist going back DECADES, I offer you this friendly challenge:
START OVER.
START EMPTY
REGURGITATE NOTHING.
I DARE you to stsnd at an EMPTY board and in your OWN words, your OWN illustrations attempt to explain those SAME topics.
Then you'll realize whether you GENUINELY UNDERSTAND the concepts you're professing to know...
...or if you're just another parrot in an ever- growing FLOCK of parrots all making videos and claiming expertise, when in reality you just know how to "run some code" that someone else developed, and luckily you only have ro fool some custoneds who can't tell the difference...
-old fart data scientist (since before Al Gore invented The Internet)
Dude, get a life!
@@rohitnirmal1024 I suppose I deserved that, but I'll leave you with this: if all you seek is false praise from your buddies...
...I think you're capable of more.
But go ahead - prove me wrong ;-)
wow
Jesus I'm going to fail this class
Nicely explained!But why do some teachers have to be so attractive!!Its distractive for some people!!...:)
I'm sorry she was our tutor for 9 minutes
nice teaching. actually i was admiring your face. how pretty you are!!!!
I'm sorry she was our tutor for 9 minutes
Your very beautiful madam
I love you
u speak very fast so i can"t understand
You can't understand because your english is not good. Sorry
Playback at 0.75 in that case
I love you vary mach . Pleg marrie me
I'm sorry she was like your sister
Your English spellings 😂🤣😆
it is disgusting how people keep making this lip sucking or kissing sound while they are talking … I couldn't make it to the end of the video
tqsm
Thank you
Thanks