Principal Component Analysis Courses and Certifications

Data Science: Building Machine Learning Models

120 ratings at edX

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

• edX
• 8 weeks, 2-4 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Mastering Dimensionality Reduction with Python

8 ratings at CodeSignal

Master Python-based dimensionality reduction techniques from PCA to autoencoders, learning to extract essential features from complex datasets and optimize machine learning model performance through hands-on practice.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 5 courses

Intro to Unsupervised Machine Learning

Master unsupervised machine learning through hands-on practice with clustering, dimensionality reduction, and advanced algorithms using the Iris dataset for practical data analysis applications.

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

Unsupervised Learning and Clustering

Master unsupervised learning algorithms from scratch, including k-Means, PCA, and DBSCAN. Build clustering implementations, visualize results, and evaluate performance using essential metrics.

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

Linear Landscapes of Dimensionality Reduction

Master dimensionality reduction techniques through Linear Discriminant Analysis (LDA), comparing it with PCA while implementing practical Python solutions for improved feature selection and model performance.

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

Feature Selection, Reduction and Streamlining

Master techniques to identify impactful features, reduce dimensionality, and streamline datasets for enhanced model efficiency and performance by focusing on the most relevant data attributes.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Microcredential

Mastering Dimensionality Reduction with R

Discover how to simplify complex data using PCA, linear/non-linear techniques, autoencoders, and feature selection in R for enhanced machine learning performance.

• CodeSignal
• 15 hours
• On-Demand
• Free Certificate
• 5 courses

Linear Landscapes of Dimensionality Reduction

Discover Linear Discriminant Analysis techniques for dimensionality reduction and feature selection through hands-on R programming exercises with real datasets.

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

Unsupervised Learning and Clustering

Master unsupervised learning by building k-Means, mini-batch k-Means, PCA, and DBSCAN from scratch. Assess cluster quality using key metrics like homogeneity and completeness.

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

Linear Algebra for Data Science: Practical Applications with Python

Jump in this 20 Hours course to master essential linear algebra techniques for turning raw data into actionable insights using Python and to elevate your analytical and computational skills to attain proficiency in high-impact data solutions with real-wo…

• OpenLearning
• 20 hours
• On-Demand
• Paid Course

Machine Learning for Data Analysis: Unsupervised Learning

1562 ratings at Udemy

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence

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

Linear Algebra and Feature Selection in Python

999 ratings at Udemy

Gain the Theoretical and Practical Foundations to Learn Machine Learning and AI with Understanding

• Udemy
• 3 hours 10 minutes
• On-Demand
• Paid Course

Applied Unsupervised Learning in Python

Master unsupervised learning algorithms in Python to uncover hidden patterns, reduce dimensions, cluster data, model topics, and handle missing values using real-world datasets.

• Coursera
• 1 day 6 hours 13 minutes
• On-Demand
• Paid Course

Matrix Methods

249 ratings at Coursera

Explore fundamental matrix methods essential for machine learning and data analysis, including multiplication, linear equations, orthogonality, and SVD for dimensionality reduction and PCA.

• Coursera
• 6 hours 35 minutes
• On-Demand
• Paid Course

Complete Machine Learning & Data Science with Python | A-Z

483 ratings at Udemy

Use Scikit, learn NumPy, Pandas, Matplotlib, Seaborn and dive into machine learning A-Z with Python and Data Science.

• Udemy
• 8 hours 42 minutes
• On-Demand
• Paid Course