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

-1 vote147 views1 answer
Python random item of an array
Python
0 vote147 views1 answer
Cmap perlin noise python
Python
0 vote152 views1 answer
How to use idl in python
Python
22 votes173 views6 answers
String palindrome in python
Python
0 vote158 views1 answer
How to populate an image to template in django from views
Python
2 votes180 views1 answer
Matplotlib plot adjust margins
Python
0 vote218 views1 answer
Typecasting python
Python
0 vote158 views1 answer
Get category discord.py
Python
0 vote172 views1 answer
Filter dataframe with a list of index
Python
4 votes139 views2 answers
Get stock data in python
Python