How to use 'logistic regression in python' in Python

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89def logistic_regression(w, x):
90 """Logistic regression classifier model.
91
92 w: Weights w. (n_features,) NumPy array
93 x: Data point x_i. (n_features,) NumPy array
94 -> float in [0, 1]
95 """
96 return scipy.special.expit(numpy.dot(x, w.T))
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101def run_logistic_regression(df):
102 # Logistic regression
103 X = df['pageviews_cumsum']
104 X = sm.add_constant(X)
105 y = df['is_conversion']
106 logit = sm.Logit(y, X)
107 logistic_regression_results = logit.fit()
108 print(logistic_regression_results.summary())
109 return logistic_regression_results

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