Mathematics for Machine Learning: PCA
Completed by Daniel Di Pace Penna Soares
March 8, 2026
20 hours (approximately)
Daniel Di Pace Penna Soares's account is verified. Coursera certifies their successful completion of Mathematics for Machine Learning: PCA
What you will learn
Implement mathematical concepts using real-world data
Derive PCA from a projection perspective
Understand how orthogonal projections work
Master PCA
Skills you will gain
- Category: Linear Algebra
- Category: Python Programming
- Category: Advanced Mathematics
- Category: NumPy
- Category: Calculus
- Category: Applied Mathematics
- Category: Unsupervised Learning
- Category: Statistical Methods
- Category: Jupyter
- Category: Dimensionality Reduction
- Category: Statistics
- Category: Descriptive Statistics
