Unsupervised learning

Unsupervised Learning: Clustering

We have already seen that clustering is a typical application of unsupervised learning. There are various unsupervised learning algorithms that we can use to solve clustering problems.

Would you like to learn more about how the most well-known unsupervised learning algorithm is used to analyze unlabeled data and develop a clustering model? We hope so!

So let's talk about the K-means algorithm: a widely used unsupervised learning technique for solving clustering problems.

!     Assist the data scientists in solving a problem with an unsupervised machine learning algorithm.
Note: After starting, you can use the small black arrows on the left and right to scroll through the pages.

 

 

 
 
 
 
 

Please answer the questions below only once you have completed the above task!