Write a Python Program to implement Polynomial Regression on a dataset of your own choice.

 # Polynomial Regression Implementation in Python # Using a synthetic dataset for demonstration import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LinearRegression from sklearn.preprocessing import PolynomialFeatures # Step 1: Create sample dataset # Let's assume a simple quadratic relationship: y = 3x^2 + 2x + 1 with some noise np.random.seed(42) X  __________ ___ __________ ______ _______ __________.
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