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K Means Clustering Algorithm | K Means Example in Python | Machine Learning Algorithms | Edureka

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** Python Training for Data Science: https://www.edureka.co/python ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) series presents another video on "K-Means Clustering Algorithm". Within the video you will learn the concepts of K-Means clustering and its implementation using python. Below are the topics covered in today's session: 1. What is Clustering? 2. Types of Clustering 3. What is K-Means Clustering? 4. How does a K-Means Algorithm works? 5. K-Means Clustering Using Python Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm Subscribe to our channel to get video updates. Hit the subscribe button above. How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Programmatically download and analyze data 2. Learn techniques to deal with different types of data – ordinal, categorical, encoding 3. Learn data visualization 4. Using I python notebooks, master the art of presenting step by step data analysis 5. Gain insight into the 'Roles' played by a Machine Learning Engineer 6. Describe Machine Learning 7. Work with real-time data 8. Learn tools and techniques for predictive modeling 9. Discuss Machine Learning algorithms and their implementation 10. Validate Machine Learning algorithms 11. Explain Time Series and its related concepts 12. Perform Text Mining and Sentimental analysis 13. Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
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Text Comments (36)
edureka! (5 months ago)
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: http://bit.ly/2FBUtO7
abdulrub bin mohsin (29 days ago)
thank you explanation is awesome .
yukta shewale (1 month ago)
Very very helpful.... Thank u sir...
Thanks, great explanation!!!
astritBA (2 months ago)
Hej Awesome tutorial can you send me code and dataset?
edureka! (2 months ago)
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.
harish behera (2 months ago)
It was a enthusiastic till the end to watch the video. Can i have the source code of it?
edureka! (2 months ago)
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.
swapnil patil (2 months ago)
gor clear with the actual concept but still i have problems regarding code
ANKIT MAHNA (3 months ago)
can i get the codes?
Shubham Agarwal (3 months ago)
Great work! You are doing a wonderful job, please continue uploading such brilliant videos :)
Shafia Afin (4 months ago)
can I get the code?
edureka! (4 months ago)
Hey Shafia, glad you loved the video. Please mention your email ID and we will send the files to you. Cheers!
Saravana Ayyappa (4 months ago)
Hi, how do we choose the distant metrics like manhattan, eucladean and minkowski distance. what are the main things to look for?
edureka! (3 months ago)
Hey Saravana, There is no clear-cut answer for this. If you want your distance to reflect "absolute magnitude" then use Manhattan and Euclidean
Aiswarya (4 months ago)
can u mail me the code and dataset ?
shambavi kp (5 months ago)
I am not getting the output for assignment phase. can u please help me out?
edureka! (5 months ago)
Hey Shambavi, Can you please elaborate on the issue more so that we can help you out?
pushkar p (5 months ago)
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
edureka! (5 months ago)
Hey Pushkar, You will be polling that particular node to check for the characteristics. Happy learning!
sami byaruhanga (5 months ago)
Stumbled on this channel and been blessed with there great content. Thanks for the great quality video and straight forward explanations!!!!!!!!!!!
edureka! (5 months ago)
Thank you so much for the compliment Sami! This made our day!
S MUBEENA BEGUM (5 months ago)
Can I get those files?
edureka! (5 months ago)
Hey Mubeena, please do mention your email ID over here and we will send the files to you. Cheers!
haiyingn (6 months ago)
can you email me the code and data ? Cheers.
edureka! (6 months ago)
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!
rohan bhardwaj (8 months ago)
can i get dataset
edureka! (8 months ago)
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!
p136095 Afzal Tariq (8 months ago)
got it. thanks
Sayantan Mukherji (10 months ago)
Coding part was too fast to pick up as compared to the theoretical explanation
Amandeep Singh (8 months ago)
yes
Harsh Biyani (11 months ago)
Who is the presenter?
edureka! (11 months ago)
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 :)
Pramodkumar Gupta (11 months ago)
Nice video and content.
Qamar zaman (11 months ago)
*Thanks Edureka* I wish my teachers could also taught me like this.
edureka! (11 months ago)
Hey Qamar, well, that's unfortunate. Our trainer are industry experts and not lecturers or trainers. This is sets them apart. We are delighted to know that you liked our work. Do subscribe and stay connected with us. Cheers :)

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