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... Follow me on twitch for live coding streams:   / medallionstallion_   Speed Up Your Pandas Code:    • Make Your Pandas Code Lightning Fast   Working with Audio data in Python:    • Audio Data Processing in Python   Youtube: https://youtube.com/@robmulla?sub_con... Discord:   / discord   Twitch:   / medallionstallion_   Twitter:   / rob_mulla   Kaggle: https://www.kaggle.com/robikscube #python #machinelearning #datascience

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A Comprehensive Guide to Cross-Validation with Scikit-Learn and Python
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A Comprehensive Guide to Cross-Validation with Scikit-Learn and Python

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