Introduction to Machine Learning: Supervised Learning
Completed by Daniel Di Pace Penna Soares
March 23, 2026
22 hours (approximately)
Daniel Di Pace Penna Soares'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: Classification And Regression Tree (CART)
- Category: Applied Machine Learning
- Category: Model Training
- Category: Statistical Machine Learning
- Category: Machine Learning Methods
- Category: Model Optimization
