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Machine Learning Fundamentals: Cross Validation
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One of the fundamental concepts in machine learning is Cross Validation. It's how we decide which machine learning method would be best for our dataset. Check out the video to find out how!
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0:00 Awesome song and introduction
0:25 Motivation for using Cross Validation
1:18 Cross Validation concepts
3:41 An example using Cross Validation
4:35 Terminology (4-Fold, 10-Fold, etc)
5:20 Cross Validation for tuning parameters
Correction:
4:16 KNN should have 10 correct and 14 incorrect.
#statquest #ML #crossvalidation
For a complete index of all the StatQuest videos, check out:
If you'd like to support StatQuest, please consider...
Buying The StatQuest Illustrated Guide to Machine Learning!!!
...or...
...a cool StatQuest t-shirt or sweatshirt:
...buying one or two of my songs (or go large and get a whole album!)
...or just donating to StatQuest!
0:00 Awesome song and introduction
0:25 Motivation for using Cross Validation
1:18 Cross Validation concepts
3:41 An example using Cross Validation
4:35 Terminology (4-Fold, 10-Fold, etc)
5:20 Cross Validation for tuning parameters
Correction:
4:16 KNN should have 10 correct and 14 incorrect.
#statquest #ML #crossvalidation
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