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Program: import pandas as pd import numpy as np data = pd.read_csv("data.csv") print(data,"n") d = np.array(data)[:,:-1] print("n The attributes are: ",d) target = np.array(data)[:,-1] print("n The target is: ",target) def train(c,t): for i, val in enumerate(t): if val == "Yes": specific_hypothesis = c[i].copy() break for i, val in enumerate(c): if t[i] == "Yes": for x in range(len(specific_hypothesis)): if val[x] != specific_hypothesis[x]: specific_hypothesis[x] = '?' else: pass return specific_hypothesis print("n The final hypothesis is:",train(d,target))
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