Machine Learning, Data Science, Deep Learning, Dimensionality Reduction, Artificial Intelligence.
dataset, which contains four features, and we’ll employ PCA to reduce the dimensionality. from sklearn.datasets import load_iris from sklearn.decomposition import PCA # Load the Iris dataset iris = load_iris() X = iris.data # Create a PCA model with two components pca = PCA(n_components=2) # Fit