wlinds

import numpy as np
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt

np.random.seed(42)
samples = 1000

X = 2 * np.random.rand(samples,1)                   # Features with uniform distribution
epsilon = np.random.normal(0,1, size=(samples,1))   # Random disturbance
y = 2 + 9 * X + epsilon                             # Simple linear regression model

wlinds

import os, requests, time, csv
from bs4 import BeautifulSoup

delay_seconds = 0.2
url_to_check = "https://soundcloud.com"
error_title_to_check = "Something went wrong on SoundCloud"
csv_filename = "results.csv"
start_sequence = "/wla"

def get_names(delay, base_url, error_title, csv_filename, start_sequence):

wlinds

$\LaTeX$

Greek Letters

LaTex	Symbol	LaTex	Symbol