Which of the following statements a) , b) or c) is false?
A) The PCA estimator (from the sklearn.decomposition module) , like TSNE, performs dimensionality reduction. The PCA estimator uses an algorithm called xe "principal components analysis (PCA) "principal component analysis to analyze a dataset's features and reduce them to the specified number of dimensions.
B) Like TSNE, a PCA estimator uses the keyword argument n_components to specify the number of dimensions, as in: from sklearn.decomposition import PCA
Pca = PCA(n_components=2, random_state=11)
C) The following snippet trains the PCA estimator and produces the reduced data by calling the PCA estimator's fit and transform methods: pca.fit(iris.data)
Iris_pca = pca.transform(iris.data)
D) All of the above statements are true.
Correct Answer:
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