27:27

Linear Regression, Clearly Explained!!!

20:27

Regularization Part 1: Ridge (L2) Regression

20:32

Support Vector Machines Part 1 (of 3): Main Ideas!!!

10:12

Cross Validation : Data Science Concepts

7:13

Machine Learning Fundamentals: The Confusion Matrix

12:46

Validación cruzada y k-fold cross-validation

29:49

Complete Guide to Cross Validation

1:23:26

Lecture 8 - Data Splits, Models & Cross-Validation | Stanford CS229: Machine Learning (Autumn 2018)