Completed
Regularization in Machine Learning
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
ML Foundations II - Supervised Learning
Automatically move to the next video in the Classroom when playback concludes
- 1 The Random Forest Model
- 2 Receiver Operator Characteristic Curve
- 3 When to use a Random Forest Classifier
- 4 Linear Regression
- 5 Error Minimization in Linear Regression
- 6 Using a Classification Approach for Regression
- 7 Calculus Review
- 8 Introduction to Gradient Descent
- 9 Regularization in Machine Learning
- 10 Gradient Boosted Decision Trees
- 11 Logistic Regression
- 12 Support Vector Machine
