labs/Module-4/3.Linear_Regression_Spam_detection.ipynb

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import pandas as pd
import numpy as np

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df = pd.read_csv('datasets-2/sms_spam_perceptron.csv')
x = df.iloc[:,[1,2]].values
y=df.iloc[:, 0].values
y= np.where(y=='spam',-1,1)

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from sklearn.linear_model import LinearRegression
linear_regression = LinearRegression()
linear_regression.fit(x,y)
print(linear_regression.score(x,y))

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