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Non-linear Dimensionality Reduction Techniques

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Overview

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Unravel the complexities of non-linear dimensionality reduction by mastering t-SNE, geared towards unveiling hidden patterns in multifaceted datasets.

Syllabus

  • Lesson 1: Exploring t-SNE for Dimensionality Reduction in Machine Learning
  • Lesson 2: Mastering t-SNE Parameter Tuning in Scikit-learn
  • Lesson 3: Exploring Locally Linear Embedding: A Dimensionality Reduction Technique
  • Lesson 4: Understanding and Implementing Kernel PCA with sklearn

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