Unsupervised Learning

Unsupervised Learning is a type of machine learning that uses algorithms to analyze and cluster unlabeled data. Coursera's Unsupervised Learning catalogue teaches you how to implement this self-guided learning method to discover hidden patterns and correlations in raw, unclassified data. You'll learn about various unsupervised learning models including clustering, anomaly detection, neural networks, and dimensionality reduction. Gain knowledge about the different methods of data analysis, understand how to use clustering and association techniques, and master the art of interpreting and visualizing complex datasets. This skill will enable you to make predictions, enhance data privacy, and implement machine learning models more effectively.

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Results for "Unsupervised Learning"

  • Skills you'll gain: Feature Engineering, Decision Tree Learning, Applied Machine Learning, Supervised Learning, Advanced Analytics, Machine Learning, Machine Learning Algorithms, Unsupervised Learning, Analytics, Machine Learning Methods, Random Forest Algorithm, Model Optimization, Model Evaluation, Python Programming, Performance Tuning

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Explore unsupervised learning and K-means

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Get started with the course

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Review: Unsupervised learning techniques

  • From the course: The Nuts and Bolts of Machine Learning

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Explore unsupervised learning and K-means

  • From the course: The Nuts and Bolts of Machine Learning

  • From the course: The Nuts and Bolts of Machine Learning

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Explore unsupervised learning and K-means

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Evaluate a K-means model

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Evaluate a K-means model

  • From the course: The Nuts and Bolts of Machine Learning·Lesson: Course review: The nuts and bolts of machine learning