"K-Nearest Neighbour" is the abbreviation for "K-Nearest Neighbour." It's a machine learning algorithm that's supervised. Both classification and regression problem statements can be solved using the approach. The sign 'K' represents the number of nearest neighbours to a new unknown variable that must be predicted or categorised.
During the training phase, the KNN algorithm simply stores the dataset, and when it receives new data, it classifies it into a category that is quite similar to the new data. Consider the following scenario: We have an image of a creature that looks like a cat or a dog, but we don't know whether it's a cat or a dog.
This one is one of the best online free source to study the coding or any particular course.
H
happy
4
Course is nice but where is the link for installation of Anaconda
D
Digvijay Kewale
4
Course is good understandable but I am not able to download resources (one star less only for this not able to download resources)
S
Shivendra Shahi
5
I am impresses by the way of teaching, what a magical teaching skill he has.
S
Sandeep Kumar
5
good content with free of cost
Sucheta Kumari
5
Course content and explanation method is just awesome. I like the way they presenting and specially at the end of each video content they feeding next intro content which makes motivated, excited .
Share a personalized message with your friends.