Unsupervised Learning Courses and Certifications

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

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

Unsupervised Machine Learning Hidden Markov Models in Python

4396 ratings at Udemy

HMMs for stock price analysis, language modeling, web analytics, biology, and PageRank.

• Udemy
• 9 hours 48 minutes
• 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

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

Unsupervised Machine Learning

359 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
• 22 hours 41 minutes
• On-Demand
• Paid Course

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

Introduction to Machine Learning: Unsupervised Learning

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
• 14 hours 54 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

Clustering & Unsupervised Learning in Python

26 ratings at Udemy

Discover Hidden Data Patterns: Master K-Means, Hierarchical Clustering, DBSCAN & E-Commerce Segmentation

• Udemy
• 4 hours 53 minutes
• On-Demand
• Paid Course

Unsupervised Learning and Its Applications in Marketing

Explore unsupervised learning techniques in Python for marketing insights. Uncover customer segments, reduce data dimensions, detect anomalies, and build recommender systems to drive data-driven marketing strategies.

• Coursera
• 21 hours 43 minutes
• On-Demand
• Paid Course

Unsupervised Learning

Master clustering algorithms like K-Means, DBSCAN, and Hierarchical Clustering through hands-on coding labs and a final project. Apply these techniques to unlock patterns in unlabeled data.

• edX
• 5 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Machine Learning: Unsupervised Models

This course introduces key unsupervised machine learning techniques and explains how to choose the best algorithm for your data. Learn clustering and dimensionality reduction to find insights in unlabeled data sets.

• edX
• 1 week, 20-24 hours a week
• On-Demand
• Free Online Course (Audit)

Automated Structure Discovery: Unsupervised Learning: Wolfram U Class

Explore unsupervised machine learning with Wolfram Language, including clustering, feature extraction, and data visualization techniques for automatic structure discovery.

• Wolfram U
• 30 minutes
• On-Demand
• Free Online Course