Mathematics for Machine Learning: PCA
Completed by Alexander Shereshevsky
November 5, 2019
20 hours (approximately)
Alexander Shereshevsky'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: Geometry
- Category: Linear Algebra
- Category: Dimensionality Reduction
- Category: Applied Mathematics
- Category: Descriptive Statistics
- Category: Statistics
- Category: Data Transformation
- Category: NumPy
- Category: Calculus
- Category: Python Programming
- Category: Jupyter
- Category: Unsupervised Learning
