© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2022
A. Pajankar, A. JoshiHands-on Machine Learning with Pythonhttps://doi.org/10.1007/978-1-4842-7921-2_11

11. Unsupervised Learning Methods

Ashwin Pajankar1   and Aditya Joshi2
(1)
Nashik, Maharashtra, India
(2)
Haldwani, Uttarakhand, India
 

So far, we’ve discussed several solutions for either predicting a continuous variable based on given independent variables or predicting what class or classes a particular data item belongs to. We also discussed a few methods to combine multiple models to create a more effective meta-model. All these methods require a training dataset consisting of the values or labelled that are expected as the predicted output, thus, these ...

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