Here’s an example of an end-to-end logistic regression model implemented in Python using the scikit-learn library:
import numpy as np
import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
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