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)
