Unsupervised Learning Algorithms

Go Zero-One by learning the much-needed fundamentals of “Unsupervised Learning Algorithms". In this course, you will learn " Basics Of Unsupervised Learning, Dimensionality Reduction, Clustering".

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Unsupervised Learning Algorithms

Go Zero-One by learning the much-needed fundamentals of “Unsupervised Learning Algorithms". In this course, you will learn " Basics Of Unsupervised Learning, Dimensionality Reduction, Clustering".

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Includes:
  • Verifiable certificate
  • Quiz & mock tests
  • Live mentor workshops
  • 2 devices access*
Course Description

Unsupervised learning is closer to human cognitive functions as just like a human brain, it deduces patterns from around the world and slowly learns more about the world over time. But that does not alone reveal everything about unsupervised learning does it? We, bring to you a power-packed crash course for you on "Unsupervised Learning" that will walk you through what unsupervised learning is, how it works, challenges in unsupervised learning and so much more. You will be able to code as you learn.


Happy Learning


What you will learn?
  • Basics Of Unsupervised Learning
  • Types Of Unsupervised Learning
  • Challenges in Unsupervised Learning
  • Dimensionality Reduction
  • Eigenfaces for Feature Extraction using PCA
  • Non-Negative Matrix Factorization and its Application
  • t-SNE And Manifold Learning with t-SNE
  • Clustering
  • K-Means Clustering
  • Failure Of K-Means Clustering
  • K-Means Clustering Using Mean Shift
  • Hierarchical Agglomerative Clustering using Dendrogram
Requirements
  • No Prerequisites Required
Course Curriculum
Basics Of Unsupervised Learning
2 Lessons
  • Types Of Unsupervised Learning
  • Challenges in Unsupervised Learning
  • Eigenfaces for Feature Extraction using PCA
  • Non-Negative Matrix Factorization and its Application
  • t-SNE And Manifold Learning with t-SNE
  • K-Means Clustering
  • Failure Of K-Means Clustering
  • K-Means Clustering Using Mean Shift
  • K-Means Clustering Using Mean Shift
  • Hierarvhicalor Agglomerative Clustering using Dendrogram

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