Data Science, Python, Programming, Science, Education.
parameter and further adding category import warnings warnings.filterwarnings(action='ignore', category=FutureWarning) # data df = px.data.iris() X = df[['sepal_length', 'sepal_width', 'petal_length', 'petal_width']] # Conducting PCA n_components = 3 pca = PCA(n_components) components =