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A machine learning model is a simplified representation of a dataset, derived from statistics in the data, used to make predictions. It can represent patterns, behaviours or features within this dataset which have been learnt by the algorithm during training.

3 votes

Predicting yearly income with linear regression using Python

Try: from sklearn.linear_model import LinearRegression import numpy as np regression_model = LinearRegression() Year = np.array([[1970], [1971], [1972]]) #your data Income = np.array([3399.299037, 37 …
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