rlrocha/dimensionality-reduction

Approaches of dimensionality reduction in machine learning

Dimensionality Reduction

1. Dimensionality Reduction with Fisher's Linear Discriminant: An investigation of decision boundaries.

   • Notebook.
   • Colab.
   • Blog post.

2. Choosing the Number of Components of Principal Component Analysis: An investigation of cumulative explained variance ratio.

   • Notebook.
   • Colab.
   • Blog post.