Sklearn

pip install -U scikit-learn

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_)

Similar codes

-1 vote336 views1 answer
TypeError: cannot unpack non-iterable float object evaluate
Python
-1 vote296 views1 answer
Remove zeroes from beginning and end
Python
0 vote343 views1 answer
Pyqgis
Python
0 vote326 views2 answers
Converting pandas._libs.tslibs.timedeltas.Timedelta to days
Python
0 vote374 views1 answer
Find the highest id in model django
Python Django
0 vote313 views1 answer
Camel case to snake case python
Python
0 vote330 views1 answer
Add columns not in place
Python
-1 vote279 views1 answer
Datetime am pm python
Python
2 votes345 views6 answers
Scikit learn
Python
0 vote342 views1 answer
Cbv uk django
Python Django