Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: hbit.ly/2OpzQWw
Thank you! I have been studied in a business intelligence program for two months. I have a assignment on SPSS k means cluster assignment. To understand the topic better, I want to watch a video first to get some general idea. It is so great that I can find this video and all the other videos in your channel. Although I am new in BI and data science, I have decided that I will do modeling and AI in future. All of your videos are so great! They can help me to build a solid foundation in modeling and AI for my future carrier!
hey the video is good..!! would like to know how to implement it for custom data. How do we prepare the graph for the custom dataset and perform clustering?
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Keep watching :) We are glad to be a part of your learning journey. Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Thanks for showing interest in Edureka kindly visit the channel for more videos our content creators are eagerly waiting for your suggestion to make new videos on your interest :) DO subscribe for the video update
Hi Harish! Thanks for the compliment. Please share your email id with us (it will not be published). We will forward you the source code to your email address.
K-NN is Supervised machine learning while K-means is unsupervised machine learning. K-NN is a classification or regression machine learning algorithm while K-means is a clustering machine learning algorithm. Hope that helps!
"fit" computes the mean and std to be used for later scaling (just a computation), nothing is given to you. "transform" uses a previously computed mean and std to autoscale the data (subtract mean from all values and then divide it by std). "fit_transform" does both at the same time. Hope that helps!
Thanks for the great explanation, I just had one question. If I have a dataset with 3 classes, then should I choose k=3? or is it irrespective of the classes?
Hi ! Good to know that our videos are helping you to learn better :) Please share your mail id to share the data sheets :)We’ll update you soon . Do subscribe the channel for more updates : )
If we have two clusters one for true and one for false then how do we know which cluster is of true and which one is for false because k means just gives output 0 and 1 as cluster number
Hey Harsha, our instructors are industry experts working in the industry on that particular technology. This is how we make sure that our training module is relevant to the industry requirements. You can check out our courses and the batches here: www.edureka.co/all-courses Hope this helps :)
Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
We are glad to have learners like you. Please do share your mail id so that we can send the notes or source codes. Do subscribe our channel and hit that bell icon to never miss an video from our channel
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Machine Learning Course curriculum, Visit our Website: hbit.ly/2OpzQWw
Thank you! I have been studied in a business intelligence program for two months. I have a assignment on SPSS k means cluster assignment. To understand the topic better, I want to watch a video first to get some general idea. It is so great that I can find this video and all the other videos in your channel. Although I am new in BI and data science, I have decided that I will do modeling and AI in future. All of your videos are so great! They can help me to build a solid foundation in modeling and AI for my future carrier!
Indians always comeup with top notch explanations.
hey the video is good..!! would like to know how to implement it for custom data. How do we prepare the graph for the custom dataset and perform clustering?
Great video, gonna share this! I also would like the code and data, please?
Thank you @AtulSir #Edureka ... My best free learning TH-cam channel.
Thanks for the lesson, you explained it better than my univ's professor
Thank you for appreciating our efforts. Do subscribe to our channel and stay connected with us. Cheers :)
Comprehensive and to the point explanation. Kudos!
Thank you! This is so helpful, esp the coding bit!
You're welcome 😊 Glad it was helpful!!
Very very helpful.... Thank u sir...
So far the best explanation of this issue
Very nice and easy to understand explanation. Thanks
Thanks, great explanation!!!
Thanks that was amazing explanation
Awesome 👌 I love 💘 this
Thanks for a very good pictorial explanation! Straight to the point and clear!
And immense respect for the guy who developed this algorithm.
We are super happy that Edureka is helping you learn better. Your support means a lot to us and it motivated us to create even better learning content and courses experience for you . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
Great explanation!
Thank you very much!
Everything was touched clearly and it was well mentioned through out the session.
Ur doing a great job for u brother. All my well wishes to u. Plz post gd videos of data science
thank you explanation is awesome .
Brilliant! Amazing explanation! Keep it up, man!
Great Explanation of K-means.
Thank you! Great tutorial!!!
Thank you so much sir
Most welcome
nice one! best explanation so far
Thank you 😊
I love the way he says 'alright' in his lessons ❣
Easily understandable...
Thanks for the compliment Nisha . We are glad, our video helped you.Stay tuned with us on this channel for future updates.
got it. thanks
Great Video.....
Very nice session.. very well explained
Good lecture
Great work! You are doing a wonderful job, please continue uploading such brilliant videos :)
Edureka is doing great and things get best materialized while doing well chosen industry-based assignments given in its courses!
Thanks a lot.
thank you
thankyou so muchhhhhh
the content is superb ...... can you please share the ppt
Good to know your learning with edureka :) please share your mail id to share the data sheet! We'll Update you soon !
Simple and easy explanation. Can you please share the code. Thank You
Good to know our contents and videos are helping you learn better . We are glad to have you with us ! Please share your mail id to send the data sheets to help you learn better :) Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
why that * is used before centroids in the for loop in the initialization part?
Wonderful session
Nice video and content.
Very informative video as always! I was wondering whether you have the same but with exponential support vector machines instead? Thanks a lot!!!
Keep watching :) We are glad to be a part of your learning journey. Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
gor clear with the actual concept but still i have problems regarding code
Please make an end to end projects of all algorithm in data science
Thanks for showing interest in Edureka kindly visit the channel for more videos our content creators are eagerly waiting for your suggestion to make new videos on your interest :) DO subscribe for the video update
good visualization
It was a enthusiastic till the end to watch the video. Can i have the source code of it?
Hi Harish! Thanks for the compliment. Please share your email id with us (it will not be published). We will forward you the source code to your email address.
Thanks for the great explanation. Can you please share the data and the code?
Thanks for the appreciation. Please share your email id with us (it will not be published). We will forward the source code to your email address.
can i get the codes?
Thanks sir
I dont understand about the step 5, why are you calculating the mean ? can you please suggest :)
What is the difference between k nearest neighbours and k means clustering
K-NN is Supervised machine learning while K-means is unsupervised machine learning. K-NN is a classification or regression machine learning algorithm while K-means is a clustering machine learning algorithm. Hope that helps!
Could you pls explain in the simplest language, the difference between fit() and fit_transform().
"fit" computes the mean and std to be used for later scaling (just a computation), nothing is given to you. "transform" uses a previously computed mean and std to autoscale the data (subtract mean from all values and then divide it by std). "fit_transform" does both at the same time. Hope that helps!
Good explanation! please share the code
Thanks for the compliment! Please share your email id with us (it will not be published). We will forward the source code to your email address.
It's funny how most TH-cam channels teach way better than people from thr most prestigious institutions
Great lecture! Can you please share the code?
Please share your email id with us (it will not be published). We will forward the code to your email address.
pls share the link of jupyter/colab notebook also.
Thanks for the great explanation, I just had one question. If I have a dataset with 3 classes, then should I choose k=3? or is it irrespective of the classes?
You can use either of the following methods to get the value of k:
The Elbow Method
The Silhouette Method
Good explanation ,, kindly may i get the code
Hi Fridah, kindly drop in your email id to help us assist you with the required source codes :)
Hi,
how do we choose the distant metrics like manhattan, eucladean and minkowski distance. what are the main things to look for?
Hey Saravana, There is no clear-cut answer for this. If you want your distance to reflect "absolute magnitude" then use Manhattan and Euclidean
How to find accuracy of this algorithm
What is the value of SSE if number of data points and cluster are equal?
If all cases within a cluster are identical, the SSE would then be equal to 0.
Will you pls share the code which you have explained here
Hi ! Good to know that our videos are helping you to learn better :) Please share your mail id to share the data sheets :)We’ll update you soon . Do subscribe the channel for more updates : )
If we have two clusters one for true and one for false then how do we know which cluster is of true and which one is for false because k means just gives output 0 and 1 as cluster number
Hey Pushkar, You will be polling that particular node to check for the characteristics. Happy learning!
From where I can get the PPT used in this lecture
Thanks for showing interest in Edureka! Kindly share your mail id for us to share the datasheet/ source code :) Do subscribe for more videos & updates
Hej Awesome tutorial can you send me code and dataset?
Hey, Please share your email id with us (it will not be published). We will forward you the source code and the dataset to your email address.
can u mail me the code and dataset ?
Who is the presenter?
Hey Harsha, our instructors are industry experts working in the industry on that particular technology. This is how we make sure that our training module is relevant to the industry requirements. You can check out our courses and the batches here: www.edureka.co/all-courses
Hope this helps :)
Can I get this tutorial code?
Hi great to hear from you :) please share your mail id ! so that we can share the data sheet with you :)Do subscribe the channel for more updates : )
I am not getting the output for assignment phase. can u please help me out?
Hey Shambavi, Can you please elaborate on the issue more so that we can help you out?
Can you share the code? Thanks!
Please mention your email id (it will not be published). We will forward the code to your email address.
Hi! Can you pls share the code?
Please share your email id with us (it will not be published). We will forward the code to your email address.
can i get dataset
Hey Rohan, surely you can. Just mention your email id over here(we won't publish it) so that we can mail the files to you. Cheers!
Can you share code? thank you
Please share your email id with us (it will not be published). We will forward the source code to your email address.
pardon, can I get those code?
Hi Yanuar, kindly drop in your email id to help us assist you with the required source codes. Cheers :)
Can you share the code, please?
Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
can you share the code and data?
Hi, Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Can you please provide me the ppt!
We are glad to have learners like you. Please do share your mail id so that we can send the notes or source codes. Do subscribe our channel and hit that bell icon to never miss an video from our channel
Where I found this code
Hi please share your mail id to share the data sheet :) We'll Update you soon ! Do Subscribe the channel to keep updated
Can you share the code?
Please share your email id with us (it will not be published). We will forward the code to your email address.
Hi, I got error like:'['distance_from_1', 'distance_from_2']' is an invalid key, does anyone knows why?
You are probably trying to access directly as array. Using iloc/loc will resolve the issue.
Can I have the source code of it?
Please share your email id with us (it will not be published). We will forward the code to your email address.
Can i please get the codes and program file
Please share your email id with us (it will not be published). We will forward the code to your email address.
Could you pls provide me code and data set for hands on
Hi Ravi, we will definitely share the codes. Please provide your email id and we will share it to you, cheers :)
hello, may i get the code ?
Please share your email id with us (it will not be published). We will forward the code to your email address.
Can I get those files?
Hey Mubeena, please do mention your email ID over here and we will send the files to you. Cheers!
Hi can i please have the code
Please share your email id with us (it will not be published). We will forward the source code to your email address.
can you give your source code?
Please share your email id with us (it will not be published). We will forward the source code to your email address.
please share code
Hi : ) We really are glad to hear this ! Truly feels good that our team is delivering and making your learning easier :) Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : ) Hit the bell icon to never miss an update from our channel : )
canyon share the code file ? please
Glad you liked it ! We are glad to have learners like you .Drop your mail id in the comment section for us to share the data sheets or source codes :) Do subscribe our channel and hit that bell icon to never miss an video from our channel .
can I get the code?
Hey Shafia, glad you loved the video. Please mention your email ID and we will send the files to you. Cheers!
can you email me the code and data ? Cheers.
Hey haiyingn, we hope you liked the video. Please do mention your email ID over here and we will send the files to you. Cheers!
Thanks for the great explanation. Can you please share the data and the code?
Please mention your email id (it will not be published). We will forward the code and dataset to your email address.
Thank you sir
Great job. can you please share the code? Thanks
Hi, kindly drop in your email id to help us assist you with the required source codes. Cheers :)
Can you share the code? Thanks!
Please share your email id with us (it will not be published). We will forward the code to your email address.
Can I get the code?
Please mention your email id (it will not be published). We will forward the code to your email address.
@@edurekaIN Hello, can you please send the code to me as well? Thanks a lot
@@edurekaIN Here is the email for the code: sanjin.usa@gmail.com
Please i need the code ?
Please mention your email id (it will not be published). We will forward the code to your email address.
Can you kindly share the code?
Can you share the code? Thanks!
Hi Aairah, kindly drop in your email id to help us assist you with the required source codes. Cheers :)