Dimensionality Reduction

Data Scientist Learn Dimensionality reduction techniques and reducing the number of input variables in training data. Fewer input dimensions often mean correspondingly fewer parameters or a simpler structure in the machine learning model, referred to as degrees of freedom.
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What will you learn?

  • You will Understand when to use Dimensionality Reduction
  • You will understand How does Unsupervised Machine Learning algorithms work.
  • You will learn about the working of Principal Component Analysis.
  • You will learn about the working of Linear Discriminant Analysis
  • You will also learn the Implementation and Visualization of PCA and LDA.

Who is this Course for?

Dimensionality Reduction

Course Requirements

Dimensionality Reduction

1

Sections

4

Lessons

1

Hours

Course Curriculum

Section 1
Dimensionality Reduction
Dimensionality Reduction

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