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LDA-implementation-on-Iris-Dataset (With Brief Information of LDA)

Linear Discriminant Analysis(LDA) implementation on Iris Dataset

LDA tries to solve Supervised Clasification Problem wherein the objective is not to understand variability of the data,but to maximize the separation known categories. In LDA the covariance matrix is substituted by a scatter matrix which captrues the characteristics between class and within class.

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Implemented Machine Learning Algorithm

1. RandomForest Algorithm

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Linear Discriminant Analysis(LDA) implementation of on Iris Dataset

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