Introduction to Machine Learning: Supervised Learning
Completed by Jorge Hryhorczak Fermin
March 14, 2026
22 hours (approximately)
Jorge Hryhorczak Fermin's account is verified. Coursera certifies their successful completion of Introduction to Machine Learning: Supervised Learning
What you will learn
Explain and apply the core concepts of supervised learning.
Build, interpret, and evaluate predictive models for regression and classification.
Assess model reliability and improve generalization using validation and regularization techniques.
Apply tree-based and ensemble methods to capture complex relationships in data.
Skills you will gain
- Category: Applied Machine Learning
- Category: Classification And Regression Tree (CART)
- Category: Statistical Machine Learning
- Category: Model Optimization
- Category: Machine Learning Methods
- Category: Model Training
