Answers for "sklearn python"

import sklearn

import sklearn
import pandas as pd
from sklearn import datasets
iris=datasets.iris()

sklearn

pip install -U scikit-learn

install sklearn

sudo pip3 install scikit-learn

scikit learn library in python

from sklearn import datasets
iris = datasets.load_iris()

scikit-learn tutorial

python3 -m venv sklearn-venvpython -m venv sklearn-venvpython -m venv sklearn-venvsource sklearn-venv/bin/activatesource sklearn-venv/bin/activatesklearn-venvScriptsactivatepip install -U scikit-learnpip install -U scikit-learnpip install -U scikit-learnpip3 install -U scikit-learnconda create -n sklearn-envconda activate sklearn-envconda install 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_)