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/cross-validation-visualized-youtube-tutorial Follow me on twitch for live coding streams: https://www.twitch.tv/medallionstallion_ Speed Up Your Pandas Code: https://www.youtube.com/watch?v=SAFmrTnEHLg Working with Audio data in Python: https://www.youtube.com/watch?v=ZqpSb5p1xQo * Youtube: https://youtube.com/@robmulla?sub_confirmation=1 * Discord: https://discord.gg/HZszek7DQc * Twitch: https://www.twitch.tv/medallionstallion_ * Twitter: https://twitter.com/Rob_Mulla * Kaggle: https://www.kaggle.com/robikscube #python #machinelearning #datascience