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Created 5 years ago
PCA: for Dimensionality Reduction
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.decomposition import PCA
from sklearn.preprocessing import StandardScaler
from sklearn.datasets import load_breast_cancer
Load data set
brc = load_breast_cancer()
brc.keys()
dict_keys(['data', 'target', 'target_names', 'DESCR', 'feature_names', 'filename'])
brc.data.shape
(569, 30)