bushra-ansari/market-positioning-of-mobile-by-k-nearest-neighbors-classification

This project is based a classification algorithm i.e. KNN which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobiles phones are classified in accordance with their price range.

KNN(K Nearest Neighbours)

This project is based on a classification algorithm i.e. KNN which is run on a mobile dataset consisting of 2000 rows and 15 columns. It is a multi-class problem where mobile phones are classified in accordance with their price range. There are four classes of price ranging from 0 to 3, 0 indicating cheaper mobiles phones and 3 representing expensive mobile phones.