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Computing with Data

elgeish
84.2K views

Regression

Using the house prices dataset, we implement a linear regression model that predicts the price y of a house using a set of features X:

import numpy as np
from sklearn import datasets
from sklearn.linear_model import SGDRegressor
from sklearn.metrics import mean_squared_error
from sklearn.preprocessing import StandardScaler
print(datasets.load_boston().DESCR)
np.random.seed(42) # constant seed for reproducibility
houses = datasets.load_boston()
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