Trading with Machine Learning: Classification and SVM Section 5, Unit 17

AI & Machine learning
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Why we need create hyper parameters ? 



 

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Hello Shirish,



I must say, your progress in the course has been great!



To answer your question, let me start by defining what hyperparameters are.



There are certain parameters that the model learns from the data itself, and then there are some parameters that cannot be estimated by the model. These parameters are known as hyperparameters. They have to be set by the user and need to be tuned in line with a particular model.



The reason why we do this is to control the learning behaviour of the ML model and reduce errors.



QuantInsti has quite a few blogs that cover the subject of machine learning. I would recommend you to read this blog to understand what hyperparameters are. Additionally, you can also read this blog to learn how to create hyperparameters.



Hope this helped!



Thanks,

Rushda

3

Thanks…