lazy predict regression1.py

from lazypredict.Supervised import LazyRegressor
import numpy as np
import pandas as pd

data = pd.read_csv("https://raw.githubusercontent.com/amankharwal/Website-data/master/Advertising.csv")

x = np.array(data.drop(["Sales"], 1))
y = np.array(data["Sales"])
from sklearn.model_selection import train_test_split
xtrain, xtest, ytrain, ytest = train_test_split(x, y, test_size=0.2, random_state=42)