Introduction to K-
Nearest Neighbor
(KNN) Algorithm
KNN is a powerful supervised learning algorithm used for classification and
regression tasks in machine learning.
It works by identifying the K closest data points to a new input and making a
prediction based on their labels or values.
, Understanding the KNN Algorithm
Example: Suppose, we have an image of a creature that looks similar to cat and dog, but we want to know
identification, we can use the KNN algorithm, as it works on a similarity measure. Our KNN model will find
data set to the cats and dogs images and based on the most similar features it will put it in either cat or do
Nearest Neighbor
(KNN) Algorithm
KNN is a powerful supervised learning algorithm used for classification and
regression tasks in machine learning.
It works by identifying the K closest data points to a new input and making a
prediction based on their labels or values.
, Understanding the KNN Algorithm
Example: Suppose, we have an image of a creature that looks similar to cat and dog, but we want to know
identification, we can use the KNN algorithm, as it works on a similarity measure. Our KNN model will find
data set to the cats and dogs images and based on the most similar features it will put it in either cat or do
