Dimensionality Reduction Courses and Certifications

Matrix Methods

238 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
• Free Online Course (Audit)

Matrix Factorization and Advanced Techniques

186 ratings at Coursera

Explore matrix factorization and hybrid techniques for recommender systems, covering dimensionality reduction, algorithm combination, and advanced machine learning methods for powerful recommendations.

• Coursera
• 14 hours 11 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Mathematics for Machine Learning

1 review

Gain essential mathematical foundations for machine learning, covering linear algebra, multivariate calculus, and dimensionality reduction with PCA. Build intuitive understanding and practical skills for advanced ML and data science.

• Coursera
• 17 weeks, 4 hours a week
• On-Demand
• Paid Course
• 3 courses

Unsupervised Algorithms in Machine Learning

18 ratings at Coursera

Explore unsupervised machine learning techniques for dimensionality reduction, clustering, and latent feature discovery. Apply these methods to real-world scenarios like recommender systems using Python.

• Coursera
• 1 day 14 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

Predicting Extreme Climate Behavior with Machine Learning

Explore machine learning techniques for climate data analysis, from unsupervised clustering to neural networks, gaining practical skills to predict extreme weather patterns.

• Coursera
• 23 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

Natural Language Processing with Classification and Vector Spaces

4461 ratings at Coursera

This is the Course 1 of the Natural Language Processing Specialization, offered by deeplearning.ai

• Coursera
• 1 day 9 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

Dimensionality Reduction in R

1 review

Develop your intuition for when to reduce dimensionality in your data, and master the fundamentals of how to do so in R.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Single-Cell RNA-Seq with Bioconductor in R

1 review

Analyze single-cell RNA-Seq data using normalization, dimensionality reduction, clustering and differential expression.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Executive Briefing - Data Science and Machine Learning

7333 ratings at Udemy

Get a non-technical overview of Data Science and Machine Learning for Executives!

• Udemy
• 1 hour 58 minutes
• On-Demand
• Free Online Course

Machine Learning for Marketing Analytics in R

In this course you'll learn how to use data science for several common marketing tasks.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Advanced Dimensionality Reduction in R

Learn how to apply advanced dimensionality techniques such as t-SNE and GLRM.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Unsupervised Machine Learning

267 ratings at Coursera

Explore unsupervised machine learning techniques, including clustering and dimensionality reduction, to uncover insights from unlabeled data. Gain hands-on experience with algorithms and best practices.

• Coursera
• 23 hours 22 minutes
• On-Demand
• Free Online Course (Audit)

Feature Engineering in R

Learn the principles of feature engineering for machine learning models and how to implement them using the R tidymodels framework.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Principal Component Analysis in Python and MATLAB

151 ratings at Udemy

Learn to implement Principal Component Analysis for dimensionality reduction and feature extraction in Python and MATLAB, from theoretical foundations to practical applications on real datasets.

• Udemy
• 1 hour 21 minutes
• On-Demand
• Free Online 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