I am absolutely excited about having more graph algos. They're not covered that much elsewhere, and specially their applications. Thanks a gazillion times.
Hey man just wanted to say that you are doing such a FINE job. Your channel deserves atleast 10 million more subscribers. You have helped me in my data science msc in ways you will probably never even know. Thank you from the bottom of my heart brother. God bless.
Great video! Would be happy to see more on graphs. One quick tip: When you are only copying one line in the notebook, you don't need to highlight the line. Just hit cmd+c (ctrl+c) and it copies the whole line of the cursor.
Great introduction to community detection! Can you do this with matrices or on vectorized linear combinations of data? Would multiclass logistic regression work to the same effect? I'll look up the algorithm you used, but if so, it would be cool to hear the tradeoffs of going for similar objectives by different approaches from you. Admittedly, I have not seen all of your videos so apologies if I have missed that content elsewhere. You made everything plain enough for me to translate into base R. I love the code with me! I don't know a bunch of the python language so I appreciate seeing how easy it flows with certain data science tasks. Great job nailing down such a clever, applicable technique. Data science is 40% these clever approaches (from an outsider looking in), and constantly seeing these new approaches/objectives from you is fun, motivating and very rewarding. Thanks for your work!
Hey great content! I’d like to see how you would cluster a really big highly connected graph where deleting one edge would not cut it into meaningful groups
Also interested in clustering where a node can appear in more than one cluster I’m looking into cliques in a graph for this. If you have any content on these I will definitely watch!
I am absolutely excited about having more graph algos. They're not covered that much elsewhere, and specially their applications. Thanks a gazillion times.
Clear and Smooth Explanation! Thanks
Wow! Brilliant presentation and specifically impressed with how smoothly you do interactive coding.
Glad you liked it!
Hey man just wanted to say that you are doing such a FINE job. Your channel deserves atleast 10 million more subscribers. You have helped me in my data science msc in ways you will probably never even know. Thank you from the bottom of my heart brother. God bless.
Great video! Would be happy to see more on graphs.
One quick tip: When you are only copying one line in the notebook, you don't need to highlight the line. Just hit cmd+c (ctrl+c) and it copies the whole line of the cursor.
You're a damn good teacher...I accept...I watch you're videos to clear my cobwebs
Love this video, it's so easy to adapt the theory and practical implementation. Thanks
Excellent demonstration. Not a word wasted, many thanks!
How awesome and clean your explanations are. Thanks a lot for this video!
Love to learn more about Lounvain method!
Hi, thank you very much for this clear explanation!
Thank you! It was hard to read and understand but your video helped immensely! Excellent!
Awesome!
Keep making vids like these on graph topic, thanks
please do more on network analysis. I only understood what you taught!!
Very good video and a nice easy well explained code
Glad you liked it
Brilliant tutorial! Thank you so much!
Thanks for your video. It was really helpful
Great introduction to community detection! Can you do this with matrices or on vectorized linear combinations of data? Would multiclass logistic regression work to the same effect? I'll look up the algorithm you used, but if so, it would be cool to hear the tradeoffs of going for similar objectives by different approaches from you. Admittedly, I have not seen all of your videos so apologies if I have missed that content elsewhere.
You made everything plain enough for me to translate into base R. I love the code with me! I don't know a bunch of the python language so I appreciate seeing how easy it flows with certain data science tasks.
Great job nailing down such a clever, applicable technique. Data science is 40% these clever approaches (from an outsider looking in), and constantly seeing these new approaches/objectives from you is fun, motivating and very rewarding.
Thanks for your work!
J'adore tes vidéos merci
Merci beaucoup!!
Thanks so much! What do you think about the SLPA algorithm? Would be cool to see a video about that :)
Thank you it was really helpful. Could you please make video about community detection using link prediction?
Is it something related to finding critical connections in a network? Like connected components stuff
Très intéressant votre chaîne
quality Contttttttttent!! thankyou
thank you but the question was haw to get list of communities as show on the graph !?
Hey great content! I’d like to see how you would cluster a really big highly connected graph where deleting one edge would not cut it into meaningful groups
Also interested in clustering where a node can appear in more than one cluster I’m looking into cliques in a graph for this. If you have any content on these I will definitely watch!
Thank you so much!
Really helpful video
great video. I wonder what really motivates you to make these videos?
Is it possible to apply this approach to bi-graphs?
How does one measure "closeness" in a network?
s/o from South Africa