How to tune hyper parameters using Grid Search CV | With and without a Pipeline | Machine Learning

#grisdearch #machine #learning #python

In this tutorial, we'll look at Grid Search CV, a technique by which we can find the optimal set of hyper-parameters and fine tune our ML model to make a better model.

Table of contents:

0:00 Intro
1:08 Randomized Search CV
1:52 Python code for Grid Search CV
3:20 Without a pipeline
8:21 With a pipeline

I've uploaded all the relevant code and datasets used here (and all other tutorials for that matter) on my github page which is accessible here:

Link:

https://github.com/rachittoshniwal/machineLearning

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Видео How to tune hyper parameters using Grid Search CV | With and without a Pipeline | Machine Learning канала Rachit Toshniwal