Advanced Handling of Many Feature Situations ★★★★ Master Level
Become a problem solver and find solutions to business-relevant situations with many features. In this two-day training, we outline methods to handle challenges, whether it be large quantities of data or modeling conditions with many variables. Familiarizing you with problems of many feature situations so you are prepared for any task.
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Advanced Handling of Many Feature Situations
- The problems of many feature situations and typical cases when they arise
- Methods for reducing data dimensionality
- How to apply several techniques in a step-by-step approach
- An overview and calculation of validation metrics
- How to interpret outcomes of reduction methods
- Business outcomes
- 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