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

2 votes222 views1 answer
Numpy function for calculation inverse of a matrix
Python
3 votes197 views4 answers
Discord.py permissions
Python
1 vote197 views1 answer
Backup django db from one database to another
Python
9 votes210 views3 answers
Numpy euclidean distance
Python
0 vote203 views1 answer
Triplets in python
Python
8 votes205 views4 answers
How to make an infinite loop in python
Python
2 votes204 views1 answer
Termcolor python
Python
1 vote233 views1 answer
How to create file using python cat command
Python
5 votes207 views1 answer
How to convert column to index in pandas
Python
2 votes202 views3 answers
Nltk pip
Python