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tech with tim

Gifted Gerbil answered on October 23, 2020 Popularity 8/10 Helpfulness 1/10

answer tech with tim

tech with tim

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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)

Popularity 8/10 Helpfulness 1/10 Language python

Source: www.techwithtim.net

Tags: python

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