Mathematics for Machine Learning: PCA
Completed by Lucas Keniger de Andrade Gensas
September 16, 2024
20 hours (approximately)
Lucas Keniger de Andrade Gensas'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: Python Programming
- Category: Linear Algebra
- Category: Dimensionality Reduction
- Category: Advanced Mathematics
- Category: NumPy
- Category: Calculus
- Category: Unsupervised Learning
- Category: Jupyter
- Category: Applied Mathematics
- Category: Data Transformation
- Category: Statistics
- Category: Descriptive Statistics
