© 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_8

8. Tuning Supervised Learners

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

As we saw in the previous chapter, there are multiple suites of supervised learning algorithms that can be used to model prediction systems through a labelled training data which might predict a real number (in regression) or one or more discrete classes (in classification). Each method provides a set of features that can be modified or tuned to manipulate the capabilities of the model – which might have a significant effect on the ...

Get Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.