$ grep --tag

#PCA

// 3 posts found

[MMD]·03/06/2026·15min

Linear Algebra Coding Practice: Implementing Matrix Operations with NumPy

A hands-on coding practice for implementing matrix operations, Gaussian elimination, eigendecomposition, and PCA from scratch using NumPy. Each problem includes step-by-step hints and complete solution code.

#Linear Algebra#Python#NumPy#Coding Assignment#Machine Learning

[MMD]·03/06/2026·15min

Linear Algebra Basics Chapter 4: Eigenvalues, Eigenvectors, and PCA

Wrap up the core of linear algebra: geometric interpretation of determinants, basis and span, eigenvalue/eigenvector computation, how PCA works under the hood with full derivations, and Markov matrices.

#Linear Algebra#Machine Learning#Eigenvalue#PCA#Dimensionality Reduction

[데이터사이언스]·03/04/2026·13min

Statistics Fundamentals Chapter 7: Unsupervised Learning

A hands-on overview of unsupervised learning essentials — PCA, K-Means, hierarchical clustering, Gaussian Mixture Models, and feature scaling — all with code examples.

#Statistics#Unsupervised Learning#PCA#Clustering#Python

// categories

// tags

#PCA

Linear Algebra Coding Practice: Implementing Matrix Operations with NumPy

Linear Algebra Basics Chapter 4: Eigenvalues, Eigenvectors, and PCA

Statistics Fundamentals Chapter 7: Unsupervised Learning