I have a dataset from a car company. The dataset consists of multiple features. I want to predict the price of cars through unsupervised ML classifiers. I am not familiar with what classifier I use to predict the class label.
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You must share your data samples and define the goal of the problem you want to solve it. – Hamed Baziyad Nov 15 '20 at 19:23
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predicting prices is a regression task, with classifier you may classify cars as cheap, medium and expensive. use clustering technique http://scikit-learn.org/stable/modules/clustering.html. if you dont have labeled data try to label some and use semi-supervised learning and label the rest automatically.

Simone
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