3331 - Advanced Handling of Many Feature Situations - 2019

3331 - Advanced Handling of Many Feature Situations - 2019

Issued by GAIn® - The Global AI network

In this course, we teach you methods to build a model with good model validation scores and fast performance. This course will prepare you to tackle any situation through strategic methods for reducing data dimensionality, validation metrics for outcomes, and business applications of many feature situations. With the aid of our expert trainers, you will apply these skills to real and common cases to realize business opportunities with your own applications.

Skills

Earning Criteria

  • Understanding problems with many feature situations - Being able to explain what issues there are when working with many features
  • Methods for reducing data dimensionality - Proficient in choosing the right method for dimensionality reduction and explaining this
  • Applying data dimensionality reduction techniques - Proficient in applying dimensionality reduction methods to large data sets
  • Validation of dimensionality reduction methods - Knowing how to score and validate outcomes of your dimensionality reduction
  • Business applications of many feature situations - Spotting business opportunities for many feature situations
  • Exam