PCA Courses and Certifications

Mathematics for Machine Learning: PCA

3178 ratings at Coursera

Explore mathematical foundations of Principal Component Analysis (PCA) for dimensionality reduction. Learn statistics, inner products, orthogonal projections, and derive PCA from a geometric perspective.

• Coursera
• 20 hours 39 minutes
• On-Demand
• Paid Course

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis (PCA) with Python's Scikit-learn, from basic concepts to practical implementation in machine learning projects.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis in R, from understanding eigenvectors to implementing PCA for feature extraction and classification tasks.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

LiquidBrain Bioinformatics

rRNA Sequencing Analysis and Visualization

Explore microbiome analysis techniques using various tools. Learn OTU clustering, diversity analysis, PCA, AMOVA, tree plotting, and visualization with Galaxy, Krona, and MEGAN6 for comprehensive 16S rRNA sequencing insights.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Chemometrics & Machine Learning in Copenhagen

Randomization - Speeding Up Huge Problems

Explore data reduction techniques for analyzing large datasets efficiently, focusing on randomized sub-sampling and local-rank approximations in PCA and sparse-PCA contexts.

• YouTube
• 47 minutes
• On-Demand
• Free Video

PCA & multivariate signal processing, applied to neural data

552 ratings at Udemy

Learn and apply cutting-edge data analysis techniques for "big neurodata" (theory and MATLAB/Python code)

• Udemy
• 17 hours 35 minutes
• On-Demand
• Paid Course

Kubesimplify

Prometheus Certified Associate (PCA) Certification Overview and Demo

Explore Prometheus certification, prepare with resources, and learn to instrument applications for data pushing to Prometheus via pushgateway. Includes demo and comprehensive course overview.

• YouTube
• 20 minutes
• On-Demand
• Free Video

DigitalSreeni

Advanced Dimensionality Reduction - t-SNE vs UMAP vs PCA Deep Dive

Master non-linear dimensionality reduction with t-SNE and UMAP for complex data visualization, including parameter tuning and Python implementation using breast cancer classification.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Data Manipulation and PCA (Principal Component Analysis )

108 ratings at Udemy

Learn essential data manipulation techniques and Principal Component Analysis, from handling missing values to computing correlation matrices and selecting components.

• Udemy
• 1 hour 10 minutes
• On-Demand
• Free Online Course

StatQuest with Josh Starmer

Principal Component Analysis - PCA, Step-by-Step

Step-by-step guide to Principal Component Analysis (PCA), explaining its importance in data analysis and machine learning. Covers 2D and 3D data examples, PC calculation, and interpretation of results.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Clustering & Classification With Machine Learning In Python

498 ratings at Udemy

Harness The Power Of Machine Learning For Unsupervised & Supervised Learning In Python

• Udemy
• 6 hours 4 minutes
• On-Demand
• Paid Course

Ninja Nerd

Stroke Syndromes - MCA, ACA, ICA, PCA, Vertebrobasilar Artery Strokes - Pathophysiology

Comprehensive exploration of stroke syndromes affecting various cerebral arteries, including pathophysiology, symptoms, and anatomical considerations. Covers both anterior and posterior circulation strokes.

• YouTube
• 1 hour 17 minutes
• On-Demand
• Free Video

StatQuest with Josh Starmer

Principal Component Analysis - PCA Clearly Explained - 2015

Clear explanation of Principal Component Analysis, covering dimensions, variance, loading scores, and key concepts for interpreting PCA plots in RNA-seq data analysis.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Trees, SVM and Unsupervised Learning

Explore support vector machines, neural networks, decision trees, and XG boost for predictive modeling. Learn data representation through PCA and clustering for practical applications in data science.

• Coursera
• 12 hours 59 minutes
• On-Demand
• Paid Course

Unsupervised Machine Learning : With 2 Capstone ML Projects

87 ratings at Udemy

Learn Complete Unsupervised ML: Clustering Analysis and Dimensionality Reduction

• Udemy
• 2 hours 59 minutes
• On-Demand
• Paid Course