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.
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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.
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bushra-ansari/Market-Positioning-of-Mobile-by-K-Nearest-Neighbors-Classification
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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.
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