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Hi Azim, thanks for watching our video and we are glad you love our tutorials. However, the requested dataset is not taken from an external source. The dataset used in the video is a part of the code and it was taken from the "scikit-learn" library. Hope that helps.
Hey Patrick, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Hi Arun, we are feeling happy and glad to receive such appreciation. We put up new videos every week on all your favourite topics. Whenever you have the time, you must check our Machine learning playlist: ua-cam.com/video/ukzFI9rgwfU/v-deo.html.
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Thank you for the appreciation. You can check our videos related to various technologies and subscribe to our channel to stay updated with all the trending technologies.
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
Hi Sameer, the series available in UA-cam gives a high-level understanding of the subject and it helps you study more and move further in the subject. However, Simplilearn's Machine learning course provides 36 hours of instructor-led training with certification, 4 real-life Industry projects with integrated labs, Gain expertise with 25+ hands-on exercises, Dedicated mentoring session from our faculty of industry experts and much more. Hope that helps!
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Thanks for the video. I have a question. What does this zeros do in your code, where you wrote: ".. new_centers = np.array([ X[labels == i].mean(0) for i in range(n_clusters)]. I do not understand the functionality of the 0 in the mean() function. Thanks in advance
Is there a method to directly decide the optimum number of clusters instead doing 1, 2 , 3 , 4 ....10 and taking the best. Does it mean always need prior knowledge? Is this a limitation of this method?
Yes, there are methods to decide the optimum number of clusters. WSS and elbow method are the two ways to determine it. There will be some limitation or the other for every method. Hope that helps!
Hello Narendra, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
You can post it in the comment section and we will send you required file directly. If you want your email ID to be kept hidden from others, we can do that as well. Hope that helps!
Hello Dheeraj, thanks for appreciating our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hi Dheeraj, thanks for providing us with the email ID. We have sent the requested dataset to your mail ID. Do subscribe, like and share to stay connected with us. Cheers :)
hi the video is very organised and informative. can you please provide me with data and python nb code for the flower color compression example shared in the video?
Hello Arjun, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Hello I allow myself to contact you, , can you help me please. I did question Number 1 in Matlab can you help me to do 2 an 3 ?? 1) Create the core functions: - polynomial (c, h, x, y) -Gaussian (standard deviation, x, y) -sigmoid (alpha, beta, x, y) -khi-two (x, y) 2) create a function that constructs a gram matrix. 3) Karnelk means classification algorithm
Hi, thanks for contacting us. We have given the answer to the second question below. For the third one, please be more specific about the question. Thanks. 2. They are valid function calls. The states variable is a cell array each cell of which contains a function handle. First, you index into the cell array to retrieve a function handle, then you evaluate that function handle.
i am new to ML, learning now, i seen complete video, i have small confusion here-As per Problem Statement WalMart wants most revenue locations to open a Store, by WALMART raw data set you have taken 4-clusters by using this clusters how Walmart management knows that 4- Locations to open a store what was that Locations reader please help me if do you know about this one.
Hi Suman, we are glad that you found our video helpful. It would be great if you could share your email ID with us so that we can send the dataset directly. If you want your email ID to be kept hidden from other, we can do that as well. Thanks.
Hi Suman, sorry for the inconvenience. The requested dataset is not taken from an external source. The used dataset in the video is a part of the code and it was taken from the "scikit-learn" library. Hope that helps.
Hello Indu, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
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Hello Shiva, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
Hi Bharath, thanks for watching our video. We have sent the required code source and dataset information to your mail ID. Do support us by liking and subscribing to our channel.
Hi Vignesh, you can check out the PPT with this link: www.slideshare.net/Simplilearn/k-means-clustering-algorithm-k-means-clustering-example-machine-learning-algorithms-simplilearn
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Hello Prakash, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
I tried to cluster using your KMeans, function codes, it failed to return an output. What is the problem? Please see the following codings and help me. You can send me your answer to my email, attached to this comment. Thanks. while True: #2a assign labels based on closet center labels = pairwise_distances_argmin(X, centers) #2b find new centers from means of points new_centers = np.array(X[labels == i].mean(0) for i in range(n_clusters)) #2c check for convergence if np.all(centers == new_centers): break centers = new_centers return centers, labels centers, labels = find_clusters(X, 4) plt.scatter(X[:, 0], X[:, 1], c = y_kmeans, s = 50, cmap = 'viridis') plt.scatter(centers[:, 0], centers[:, 1], c = 'black', s = 200, alpha = 0.5);
Hello Pedro, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Hello, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Hi Saddam, thanks for watching our video. It would be great if you can share your email ID with us so that we can share the dataset as well as the source code immediately. Thanks.
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Thanks for watching the video. Hope you enjoyed watching our video. The link for the dataset used in the video is provided in the description. Thanks!
Subscribed directly. Really clean and easy tutorial for even absolute beginners
Thanks for subscribing to our channel. We welcome you to our community!
Much better explanation of K-means than my professor's lecture. Thank you, Sir.
Happy to help
excellent video, by min 5 i already understood everything I need to go off and program this on my own, thanks!
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Good explanation.
The video has very good clarity & helps in understanding the concept better.
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Extremely good!
All your tutorials on ML are excellent. Explaining is simple and good for every level.
Can you plz share the all the datasets? please.
Hi Azim, thanks for watching our video and we are glad you love our tutorials. However, the requested dataset is not taken from an external source. The dataset used in the video is a part of the code and it was taken from the "scikit-learn" library. Hope that helps.
this is the best best tutorial that i have ever watched, thank you for the video
Hey Patrick, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Spot on
Very Precise and distinguished concept explanation. Brilliant work.
Glad it helped!
Extremely good video! Can you tell me, why 255 to divide image data?
I really loved💗 your ml tutorials.
I request you to please solve the real word cases using the datasets.
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@@SimplilearnOfficial ok
finally I find the best tutorial for k-means algorithm
Hi Arun, we are feeling happy and glad to receive such appreciation. We put up new videos every week on all your favourite topics. Whenever you have the time, you must check our Machine learning playlist: ua-cam.com/video/ukzFI9rgwfU/v-deo.html.
very good tutorial and well explained, thanks ! can u plz tell me how did u calculate the new centroid for a 2-d value ?
Hi, thanks for watching our video. The 2-d value can be calculated with elbow method
best tutorial for k-means ... bravo !!!
Hey Debanita, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
Super explanation flow of explanation so smooth like a stream a gifted teacher vkraman bsc mba pg diploma in or & qc
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Excellent Tutorial even beginners with Mathematical knowledge can easily understood this... thank you very much :)
WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!WooHoo! We are so happy you love our videos. Please do keep checking back in. We put up new videos every week on all your favorite topics. Whenever you have the time, you must also check out our blog page @simplilearn.com and tell us what you think. Have a good day!
Hi, How is this series different from whats available in Simplilearn's website (course for 'Machine Learning Certification Course')
Hi Sameer, the series available in UA-cam gives a high-level understanding of the subject and it helps you study more and move further in the subject. However, Simplilearn's Machine learning course provides 36 hours of instructor-led training with certification, 4 real-life Industry projects with integrated labs, Gain expertise with 25+ hands-on exercises, Dedicated mentoring session from our faculty of industry experts and much more. Hope that helps!
you guys are rockstars!!!!!!
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This is Amazing! Thanks so much!
Hope you enjoyed our video! We have a ton more videos like this on our channel. We hope you will join our community!
This is really an awesome lecture can please let me know the all other algorithms explained by the same professor
Thanks for the overwhelming comment. We have different instructors for different topics.
Thanks it helps a lot
You are very welcome!
Great video. Thank you.
Glad you liked it!
Thanks a bunch for this video sir!!!!! it's really informative!!!! could you please share the csv file????
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Please give explanation about SVM algorithm AND SURF extraction
Please watch our SVM tutorial: ua-cam.com/video/TtKF996oEl8/v-deo.html, as it will help you to understand the algorithm in an easier way.
Thanks for the video. I have a question. What does this zeros do in your code, where you wrote: "..
new_centers = np.array([ X[labels == i].mean(0) for i in range(n_clusters)].
I do not understand the functionality of the 0 in the mean() function.
Thanks in advance
Hi Shahab, thanks for checking out our content. It is an index because indexing in Python starts from 0. Hope that helps!
Is there a method to directly decide the optimum number of clusters instead doing 1, 2 , 3 , 4 ....10 and taking the best. Does it mean always need prior knowledge? Is this a limitation of this method?
Yes, there are methods to decide the optimum number of clusters. WSS and elbow method are the two ways to determine it. There will be some limitation or the other for every method. Hope that helps!
Simplilearn Thanks
You are welcome!
Very good tutorial.... dataset please....
Hello Narendra, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial do you want to share my ID here?
You can post it in the comment section and we will send you required file directly. If you want your email ID to be kept hidden from others, we can do that as well. Hope that helps!
Hello simplilearn can you suggest me the best way to practice machine learning and a good website for downloading datasets
Thank you
Hi, you can get datasets from Kaggle.
You are best sir
Thanks a lot! Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
best tutorial for k-means
It is our pleasure! Check out ua-cam.com/video/ukzFI9rgwfU/v-deo.html for more in-depth tutorials! Happy learning!
This is great
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Hi very informative and great explanation love your videos, can you please share the data sets.
Hello Dheeraj, thanks for appreciating our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial thank you , paldheeraj25@gmail.com
Hi Dheeraj, thanks for providing us with the email ID. We have sent the requested dataset to your mail ID. Do subscribe, like and share to stay connected with us. Cheers :)
hi the video is very organised and informative. can you please provide me with data and python nb code for the flower color compression example shared in the video?
Excellent video. Hi There, Please can you share me the dataset and the code used in this tutorial. Many Thanks in advance
Hello Arjun, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
What if the Euclidean distance comes out to be exactly equal from the data point to the two centroids?
Good explanation sir.. Thankyou sir..
Hey, thank you for watching our video. We are glad that you liked our video. Do subscribe and stay connected with us. Cheers :)
Please help me with the data set to work on
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
Hello
I allow myself to contact you,
, can you help me please.
I did question Number 1 in Matlab
can you help me to do 2 an 3 ??
1) Create the core functions:
- polynomial (c, h, x, y)
-Gaussian (standard deviation, x, y)
-sigmoid (alpha, beta, x, y)
-khi-two (x, y)
2) create a function that constructs a gram matrix.
3) Karnelk means classification algorithm
Hi, thanks for contacting us. We have given the answer to the second question below. For the third one, please be more specific about the question. Thanks.
2. They are valid function calls. The states variable is a cell array each cell of which contains a function handle. First, you index into the cell array to retrieve a function handle, then you evaluate that function handle.
i am new to ML, learning now, i seen complete video, i have small confusion here-As per Problem Statement WalMart wants most revenue locations to open a Store, by WALMART raw data set you have taken 4-clusters by using this clusters how Walmart management knows that 4- Locations to open a store what was that Locations
reader please help me if do you know about this one.
Using Elbow point method
Nice explanation. Could you please share the github Url of the sample code used for demo!
Hi Suman, we are glad that you found our video helpful. It would be great if you could share your email ID with us so that we can send the dataset directly. If you want your email ID to be kept hidden from other, we can do that as well. Thanks.
Pls send the code snippet and dataset to suman90.2010@gmail.com. Thank you.
Hi Suman, sorry for the inconvenience. The requested dataset is not taken from an external source.
The used dataset in the video is a part of the code and it was taken from the "scikit-learn" library. Hope that helps.
Will you be able to share the code snippet to my mail id
Hi Suman, we have shared the code to your mail ID. Do let us know if you find any difficulty in K Means Clustering. Happy learning!
why the picture is dividing by 255? is that a constant value for doing that?
A color in RGB is usually encoded as a 3-tuple of 8 bits each, where 255 stands for full presence of color.
hi, good tutorial. can I get the code as well as the data set?
Hello Indu, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
HOW I CAN DO THAT?
You can share your email ID with us and we will send the required source code in the mail ID. We will keep your comment hidden from others!
can i use kmeans clusturing for location based recommendation engine
Yes, it is possible.
Ok thank you sir for replying
@@SimplilearnOfficial can you please tell me if i can use address zip code as a parameter for making clusters
Nice video
Hey Venkat, we're glad you enjoyed this video! If you want to learn more, you can check out this playlist: ua-cam.com/video/ukzFI9rgwfU/v-deo.html
And don't forget to like, share and subscribe to our channel! :)
how is the centroid calculated for the data point cluster?
Hi Rose, the centroid is calculated based on the Euclidean distance.
Great video! Are you able to send me the ipynb file please?
Hello Shiva, thanks for viewing our tutorial and we hope it is helpful. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly.
great video ppls share the data and notepad
Hi Bharath, thanks for watching our video. We have sent the required code source and dataset information to your mail ID. Do support us by liking and subscribing to our channel.
could you please send the ppt link of k means algorithm
Hi Vignesh, you can check out the PPT with this link: www.slideshare.net/Simplilearn/k-means-clustering-algorithm-k-means-clustering-example-machine-learning-algorithms-simplilearn
I think at 7.43 arrows should point upwards.
Hi, thanks for pointing that out. The arrows in the diagram are not wrong but the diagram should have been kept inverted. It is our mistake.
Can I please get the dataset
Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.
@@SimplilearnOfficial I want to keep my email hidden.
Thank you for this video. Can you send me the csv file.
Hi Haitham, please leave your email ID in the comment section below. We will send the dataset directly to your inbox. Thanks!
Can anyone explain this plt.scatter([:,0] , X[:,1] , s=50); plzzz
The position of a point depends on its two-dimensional value, where each value is a position on either the horizontal or vertical dimension
Excellent video for Machine learning 👍 can i get source code and data set to my mail id
Hello Prakash, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
@@SimplilearnOfficial c.prakash1894@gmail.com
how to get clustered data after clustering
I tried to cluster using your KMeans, function codes, it failed to return an output. What is the problem? Please see the following codings and help me. You can send me your answer to my email, attached to this comment. Thanks.
while True:
#2a assign labels based on closet center
labels = pairwise_distances_argmin(X, centers)
#2b find new centers from means of points
new_centers = np.array(X[labels == i].mean(0)
for i in range(n_clusters))
#2c check for convergence
if np.all(centers == new_centers):
break
centers = new_centers
return centers, labels
centers, labels = find_clusters(X, 4)
plt.scatter(X[:, 0], X[:, 1], c = y_kmeans, s = 50, cmap = 'viridis')
plt.scatter(centers[:, 0], centers[:, 1], c = 'black', s = 200, alpha = 0.5);
"Hi Lililta,
Please help us with the error message you are getting. "
you can't simply divide china by 255 42:35
Could you please share the github Could you please share the github Url of the sample code used for demo! of the sample code used for demo!
Hello Pedro, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.
Dataset please
Hello, thank you for appreciating our work. We are glad to have helped. Do check out our other tutorial videos and subscribe to us to stay connected. Cheers :)
It would be more better if the codes and functions were well explained. The code explanation is not good at all.
Thank you for bringing this to our attention. We’re sorry you had a bad experience. We’ll strive to do better
pls share dataset and source code.
Hi Saddam, thanks for watching our video. It would be great if you can share your email ID with us so that we can share the dataset as well as the source code immediately. Thanks.
saddamshaikh4570@gmail.com
Would you kindly tell me your location
We have presence both in America and India. You can contact us using this link: www.simplilearn.com/contact-us.