Python Machine Learning

Instructions Step 1: Create and Save the Model 1. Create a script train_model.py to train and save the model: import pickle from sklearn.datasets import load_iris from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split # Load the Iris dataset iris = load_iris(…

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