Tech with tim

import pandas as pd
import numpy as np
import sklearn
from sklearn import linear_model
from sklearn.utils import shuffle

data = pd.read_csv("student-mat.csv", sep=";")

data = data[["G1", "G2", "G3", "studytime", "failures", "absences"]]

predict = "G3"

X = np.array(data.drop([predict], 1))
y = np.array(data[predict])

x_train, x_test, y_train, y_test = sklearn.model_selection.train_test_split(X, y, test_size = 0.1)

Source: techwithtim.net

Similar codes

0 vote133 views1 answer
Django serializer exclude fields
Python
7 votes128 views4 answers
Python tkinter button multiple commands
Python
3 votes94 views1 answer
Dataframe to list
Python
0 vote129 views6 answers
Virtualenv
Python
0 vote124 views1 answer
Python autotrader web
Python
0 vote158 views1 answer
Django rest DjangoModelPermissions include get
Python Django
-3 votes119 views1 answer
Ascii python list
Python
1 vote118 views1 answer
Get only first 10 columns pandas
Python
1 vote115 views1 answer
From time import sleep, time
Python
0 vote134 views1 answer
Django loop through form errors
Python