Thank you Mohammad Efhami Sisi :). I am really glad you enjoyed the video. If you have anything that you want me to make a video about, just use the hashtag #augmentedstartups with your comment and I'll see what I can do. If you haven't already, check out my channel page to see all of the topics I've covered so far www.augmentedstartups.info/CZcams or check out our courses here www.augmentedstartups.com/store or you can consider becoming a member of Augmented Startups and get access to Advanced Tutorials :) bit.ly/Join_AugmentedStartups I look forward to seeing you around! 👊
The rules are the same, you just take calculations to higher dimensions. It was would hard to visualize it however you can still implement the calculations in matrix/vector form
⭐ If you enjoy my work, Id really appreciate a Coffee😎☕ - augmentedstartups.info/BuyMeCoffee
Dude I have no words to thank you for your videos
+Shreyash Kanaujia you are most welcome. Thank you so much for the kind words :)
⭐ If you enjoy my work, Id really appreciate a Coffee😎☕ - augmentedstartups.info/BuyMeCoffee
First fun video on Machine Learning I have come across. Great job. Thank you.
easiest like and subscribe decision ever ! thanks my man
explain better than most professor, insta sub.
wonderful . short and sweet explanation . most I like the Ad n Disadvantages part.
Thank you, I'm glad you enjoyed the video 😁😆
Thank you for making it so clear and understandable!
I'm glad that I could clarify 😄
Really good example and lucid explanation.
Expecting more videos like this. :)
Where can I find data about estimating glucose levels using infrared spectroscopy which was specified at 4:11 min of this video
Try Kaggle or Zindi Ai
thx
1 minute into the video ---> Subbed
Thank you so much for supporting our channel 😁🤟
simple, clear, and entertaining..... what kind of software that you used in this attractive tutorial...
Thank you :). I use video scribe
@@Augmented_AI xvbvvybccinbNBC HDcNFC CNN hascvv c
@@maheshchandsharma7494 are you 7?
Thank you. This is very concise and eas to understand.
Nice and simple explanation with impressive doodling :)
Very Well summarized. Keep it up!
+Rana Muhammad Kashif thank you so much, I really appreciate it :)
Amazing!
Thanks!, What would you like to see me cover next? :)
excellent real time explanation.thanx
Thank you. It was a very simple explanation.
awesome explanations...can u make more videos on machine learning/data science pls! :)
What topics would you like to learn?
GOT reference on a Machine Learning video? SUBBED.
Mejor canal educativo, buen contenido excelente
thank you ❤️
Thank you Mohammad Efhami Sisi :). I am really glad you enjoyed the video. If you have anything that you want me to make a video about, just use the hashtag #augmentedstartups with your comment and I'll see what I can do.
If you haven't already, check out my channel page to see all of the topics I've covered so far www.augmentedstartups.info/CZcams or check out our courses here www.augmentedstartups.com/store
or you can consider becoming a member of Augmented Startups and get access to Advanced Tutorials :)
bit.ly/Join_AugmentedStartups
I look forward to seeing you around! 👊
@@Augmented_AI this video made me to subscribe to your channel, for sure I will see your topics 🙏🏻
Can you tell me how I can choose variables for KNN? I have 20+ variables, and not sure how I would keep some of the variables with what criteria.
thank you for this explanation
Amazing as always Ritesh :)
Thanks bro😁😊
dude where's the link of the script you said in the video? none of them looks like the link i'm looking for???
Nicely Explained. Thanks
+RUTURAJ PATWARDHAN thank you so much. I really appreciate it :)
how do you determine the value for k? It his case k = 5? Is this something random?
K has to be supplied in the start, which is also a disadvantage for KNN. (Probably)
full algorithm for knn not released yet
at 2:02 you said 3 neighbors - I think you meant 4.
Can you please help me I'm in trouble on deciding which algorithm will be used for CV/Resume sorting. Please reply me as soon as possible
Really helpful videos :)
My only question is what if you need more than an x and y axis (more than two attributes)
The rules are the same, you just take calculations to higher dimensions. It was would hard to visualize it however you can still implement the calculations in matrix/vector form
good one!!
Thanks Varsha :)
You are my dude!
nice explanation. but, what is K?
K is the number of nearest neighbours
really helpful thnx. can you tell me how you did this presentation ..like what software or website did you use to create that drawing hand
I use Videoscribe
very nice....
+Divyang Patel thank you so much for the comment :)
Westerosi...
Where will you place a hound? He has wealth as well as muscle mass.
😂🤣 probably somewhere in the middle.
why the fuck some people gave this video a thumbs down? -_-
Can you provide some notes
i can;t find the next lecture of applying knn method in python . could you please help?
+shus rulz the link takes you to a course that has all the python tutorials :)
Hey dude, where are you from?
South Africa 🇿🇦 bro 😁
you couldn't match your list of algorithms with the order of the equations...
This dude sounds like he's from South Africa.
I am from SA :)
Did i just got spoiled??GOT??
Why are there so less comments as compared to view
Could be that people understand the video clearly, I guess :p haha.
First time first!
I think there is something wrong