Lesson 10 Linear Discriminant Analysis Python Machine Learning Algorithm
Linear discriminant analysis is a supervised classification method that is used to create machine learning models. These models based on dimensionality reduction are used in the application, such as marketing predictive analysis and image recognition, amongst others.
Linear Discriminant Analysis or Normal Discriminant Analysis or Discriminant Function Analysis is a dimensionality reduction technique that is commonly used for supervised classification problems. It is used for modelling differences in groups i.e. separating two or more classes. It is used to project the features in higher dimension space into a lower dimension space.
For example, we have two classes and we need to separate them efficiently. Classes can have multiple features. Using only a single feature to classify them may result in some overlapping
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