How to implement logistic regression with scikit-learn
Implementing logistic regression is pretty bothersome. However, if you use scikit-learn, the process is so much easier.
import numpy as np
from sklearn.linear_model import LogisticRegression
X = np.array([[1.5, 2.5], [0,1.5], [0.5, 0.5], [1.5, 0.5], ...
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