import sklearn
import sklearn
import pandas as pd
from sklearn import datasets
iris=datasets.iris()
import sklearn
import sklearn
import pandas as pd
from sklearn import datasets
iris=datasets.iris()
scikit learn library in python
from sklearn import datasets
iris = datasets.load_iris()
sklearn
from sklearn import linear_model
regr = linear_model.LinearRegression()
train_x = np.asanyarray(train[['ENGINESIZE']])
train_y = np.asanyarray(train[['CO2EMISSIONS']])
regr.fit (train_x, train_y)
# The coefficients
print ('Coefficients: ', regr.coef_)
print ('Intercept: ',regr.intercept_)
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