Iris Classification using PCA
This project serves as an introduction to Machine Learning using a well-known IRIS dataset.
PCA (Principal Component Analysis) allows to visualize the dataset in 2-D. Since the Iris dataset is 4 dimensional,
PCA reduces it into 2 dimensions. Another benefit that PCA brings to Machine Learning is that it optimizes the training time.
pca = PCA(n_components = 2, whiten = True)
Upon training on the data, the script generates a 2-D plot showing iris classification.
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