Unsupervised Learning Courses and Certifications

Intro to Predictive Analytics Using Python

Master predictive analytics fundamentals using Python, from regression models to advanced techniques like random forests and unsupervised learning, enabling data-driven forecasting and pattern recognition.

• Coursera
• 10 hours 52 minutes
• Self-Paced
• Paid Course

Credential

More Applied Data Science with Python

19 ratings at Coursera

Master advanced Python data analysis techniques including data mining, clustering, network modeling, and information extraction using real-world datasets and machine learning libraries.

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

Advanced Malware and Network Anomaly Detection

23 ratings at Coursera

Equip yourself with AI-powered skills to combat advanced cybersecurity threats. Master malware detection, network anomaly identification, and practical implementations using real-world data.

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

Credential

Applied Machine Learning

16 ratings at Coursera

Develop practical machine learning skills through hands-on application of supervised learning, ensemble methods, neural networks, and advanced techniques like CNNs and reinforcement learning.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 3 courses

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• Self-Paced
• Paid Course

Machine Learning

Learn about machine learning, the area of artificial intelligence (AI) that is concerned with computational artifacts that modify and improve performance through experience.

• edX
• 14 weeks, 8-10 hours/week
• Self-Paced
• Free Online Course

The Complete Machine Learning Course with Python

8044 ratings at Udemy

Build a Portfolio of 12 Machine Learning Projects with Python, SVM, Regression, Unsupervised Machine Learning & More!

• Udemy
• 17 hours 21 minutes
• Self-Paced
• Paid Course

Advancing Dairy Management with Artificial Intelligence

Explore how artificial intelligence transforms dairy farming through data analytics, predictive models, and IoT technologies for improved health monitoring, nutrition management, and production optimization.

• Coursera
• 11 hours 11 minutes
• Self-Paced
• Paid Course

Deep Learning and Reinforcement Learning

294 ratings at Coursera

Explore neural networks, deep learning architectures, and reinforcement learning. Gain hands-on practice with Keras, CNNs, transfer learning, RNNs, autoencoders, and generative models for AI applications.

• Coursera
• 1 day 7 hours 22 minutes
• Self-Paced
• Paid Course

Introduction to Machine Learning with Python

25 ratings at Coursera

Learn Python-based machine learning, covering supervised and unsupervised learning, deep learning, and image processing. Implement models using various algorithms and explore industry applications. No prior programming experience required.

• Coursera
• 12 hours 39 minutes
• Self-Paced
• Paid Course

Machine Learning: an overview

211 ratings at Coursera

Explore key machine learning methods, their applications, and limitations through examples and case studies. Gain insights into supervised, unsupervised, and reinforcement learning techniques.

• Coursera
• 2 hours 44 minutes
• Self-Paced
• Paid Course

Machine Learning Introduction for Everyone

309 ratings at Coursera

Comprehensive introduction to machine learning concepts, applications, and techniques. Covers supervised/unsupervised learning, classification, regression, and model evaluation through hands-on labs and a final project.

• Coursera
• 6 hours 24 minutes
• Self-Paced
• Paid Course

Introduction to Scientific Machine Learning

1 rating

Learn the basics of machine learning with hands-on practical examples on engineering applications.

• edX
• 16 weeks, 6-7 hours/week
• Self-Paced
• Free Online Course

EIT Digital;  Politecnico di Milano

Data Science for Business Innovation

273 ratings at Coursera

Learn to leverage data science for business innovation, covering key concepts, methods, and real-world applications. Gain insights into machine learning, analytics, and data-driven strategies to create value and drive organizational success.

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

Machine Learning for Semiconductor Quantum Devices

5 ratings at edX

Learn how to deploy artificial intelligence to control and calibrate semiconductor quantum computing chips

• edX
• 6 weeks, 6-7 hours/week
• Self-Paced
• Free Online Course (Audit)