Complete Guide to Cross Validation

In this video Rob Mulla discusses the essential skill that every machine learning practictioner needs to know - cross validation. We go through examples of scikit learn cross validation in python code. sklearn has many of these built in. Without cross validation it's easy to overfit your model and overstate it's predictive power. This video is a must watch for anyone trying to learn machine learning.

Timelime:

00:00 Intro
01:37 Setup
03:41 The Dataset
06:56 The wrong way
10:20 Holdout check and baseline
12:50 Train/Test Split
15:25 Cross Validation
24:14 Applying Cross Validation

Notebook: https://www.kaggle.com/robikscube/cro...

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