Unsupervised Machine Learning Courses and Certifications

Data Science Dojo

Search Query Expansion Using Natural Language Processing and Machine Learning

Explore advanced NLP techniques for enterprise search query expansion, leveraging unsupervised machine learning to analyze term relationships and improve complex technical content discovery.

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

Kavli Institute for Theoretical Physics

Unsupervised Learning for Stellar Spectra with Deep Normalizing Flows - Jo Ciuca

Explore unsupervised machine learning techniques for analyzing stellar spectra using deep normalizing flows, with applications in galaxy evolution and big data astronomy.

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

Databricks

Unsupervised Machine Learning for Scaling Data Quality Monitoring in Databricks

Explore unsupervised ML algorithms for scalable data quality monitoring in Databricks, covering implementation, strengths, weaknesses, and practical applications for effective data management.

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

Cluster Analysis and Unsupervised Machine Learning in Python

5145 ratings at Udemy

Data science techniques for pattern recognition, data mining, k-means clustering, and hierarchical clustering, and KDE.

• Udemy
• 7 hours 56 minutes
• On-Demand
• Paid Course

Unsupervised Machine Learning Hidden Markov Models in Python

4264 ratings at Udemy

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

• Udemy
• 9 hours 47 minutes
• On-Demand
• Paid Course

Data Analysis Bootcamp™ 21 Real World Case Studies

916 ratings at Udemy

Gain Business Intelligence Skills using Statistics, Data Wrangling, Data Science, Visualizations & Google Data Studio

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

Microcredential

IBM Introduction to Machine Learning

Gain essential machine learning skills for high-demand careers. Learn to apply algorithms, predict outcomes, and evaluate models through hands-on projects, earning an IBM Badge and building a portfolio.

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

Unsupervised Machine Learning

266 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)

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

Apply cutting-edge machine learning techniques to real-world business applications.

• Coursera
• 24 weeks, 10-12 hours a week
• On-Demand
• Paid Course

Practical Linear Regression in R for Data Science in R

35 ratings at Udemy

Learn Practical Linear Regression in R - Basics of machine learning, deep learning, statistics & Artificial Intellegence

• Udemy
• 2-3 hours
• On-Demand
• Paid Course

Cluster Analysis & Unsupervised Machine Learning in R

34 ratings at Udemy

Harness Power of R for unsupervised machine Learning (k-means, hierarchical clustering) - With Practical Examples in R

• Udemy
• 4-5 hours
• On-Demand
• Paid Course

Machine Learning with Python: Association Rules

73 ratings at LinkedIn Learning

Explore the unsupervised machine learning approach known as association rules, as well as a step-by-step guide on how to use the approach for market basket analysis in Python.

• LinkedIn Learning
• 1 hour 28 minutes
• On-Demand
• Free Trial Available

Building Clustering Models with scikit-learn

28 ratings at Pluralsight

This course covers several important techniques used to implement clustering in scikit-learn, including the K-means, mean-shift and DBScan clustering algorithms, as well as the role of hyperparameter tuning, and performing clustering on image data.

• Pluralsight
• 2-3 hours
• On-Demand
• Free Trial Available

tinyML

Amber - A Complete, ML-Based, Anomaly Detection Pipeline for Microcontrollers

Discover a complete ML-based anomaly detection pipeline for microcontrollers, featuring real-time sensor value processing, automatic hyperparameter tuning, and high-speed inference capabilities.

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