Clustering Courses and Certifications

Coursera

K-Means Clustering 101: World Happiness Report

21 ratings at Coursera

Explore K-means clustering to analyze global happiness data, grouping countries based on economic, social, and well-being factors for insights into worldwide happiness trends.

• Coursera
• 1 hour 35 minutes
• Self-Paced
• Paid Course

Introduction to Analytics Modeling

5 ratings

Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.

• edX
• 16 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course (Audit)

CertNexus

Build Regression, Classification, and Clustering Models

19 ratings at Coursera

Learn to build regression, classification, and clustering models using various algorithms. Gain hands-on experience in model selection, evaluation, and tuning for supervised and unsupervised learning tasks.

• Coursera
• 20 hours 19 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Free Certificate

Packt

Advanced Management, Clustering, and Lifecycle Management

Master advanced VMware vSphere techniques including VM templates, vMotion, DRS/HA clustering, and lifecycle management for optimal virtual infrastructure performance.

• Coursera
• 9 hours 47 minutes
• Self-Paced
• Paid Course

EDUCBA

R: Apply & Analyze K-Means Clustering for Unsupervised ML

Master K-Means clustering in R through hands-on implementation, data preparation, and customer segmentation analysis for real-world unsupervised machine learning applications.

• Coursera
• 2 hours 34 minutes
• Self-Paced
• Paid Course

Center for Language & Speech Processing(CLSP), JHU

Distributional Features and Clustering for Ngrams - Workshop 2009 Part 2

Explore distributional features and clustering techniques for n-grams in this Johns Hopkins workshop presentation on computational linguistics methods.

• YouTube
• 1 hour 18 minutes
• Self-Paced
• Free Video

Credential

Implementing AI Algorithms from Scratch in C++ (Part 2)

Master ensemble methods, unsupervised learning, clustering, and neural networks by implementing AI algorithms from scratch in C++ using mlpack for hands-on expertise.

• CodeSignal
• 8 hours
• Self-Paced
• Free Certificate
• 3 courses

Embedding-Based Recommendation with Similarity Scoring

Master embedding-based music recommendations using vector transformations, cosine similarity, and clustering to build personalized suggestion systems.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Non-linear Dimensionality Reduction Techniques

1 rating

Master non-linear dimensionality reduction techniques like t-SNE, LLE, and Kernel PCA to uncover hidden patterns in complex datasets through hands-on visualization and parameter tuning.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

Machine Learning Foundations for Product Managers

799 ratings at Coursera

Build foundational understanding of machine learning, including model development, evaluation, and common algorithms. Gain hands-on experience training and optimizing a model for a real-world problem.

• Coursera
• 16 hours 2 minutes
• Self-Paced
• Paid Course

Linux High Availability Clustering on Veritas Cluster Server

743 ratings at Udemy

Veritas Cluster Server (VCS) on Linux Operating Systems. Create Disk Groups, Service Groups and Perform Failover Tests.

• Udemy
• 1 hour 58 minutes
• Self-Paced
• Paid Course

Credential

Data Mining

2949 ratings at Coursera

Comprehensive exploration of data mining techniques for structured and unstructured data, covering visualization, text retrieval, analytics, pattern discovery, and clustering, with a practical Yelp-based capstone project.

• Coursera
• 12 weeks, 10 hours/week
• Self-Paced
• Paid Course

Hyper-V and Clustering on Microsoft Windows Server 2019

546 ratings at Udemy

Comprehensive guide to Hyper-V, failover clustering, and network load balancing in Windows Server 2019. Covers installation, configuration, management, and advanced features for virtualization and high availability.

• Udemy
• 3 hours 25 minutes
• Self-Paced
• Paid Course

Knowledge Inference and Structure Discovery for Education

Learn how to discover domain structure for knowledge inference.

• edX
• 3 weeks, 5-7 hours/week
• Self-Paced
• Free Online Course