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Perceptron 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 import numpy as np class Perceptron: def __init__(self, eta= 0.01, n_iter = 50, random_state=1): self.eta = eta self.n_iter = n_iter self.random_state = random_state def fit(self, X, y): regen = np.random.RandomState(self.random_state) self.w_ = regen.normal(loc = 0.0, scale=0.01, size= 1 + X.shape[1]) se..