necroshine0

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
%matplotlib inline

from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC

necroshine0

import vk
import json
import pandas as pd

# Use vk api for data collecting, access token is needed
TOKEN = 'yourtoken'
vk_api = vk.API(access_token=TOKEN, v='5.131')

# find students aged 18-24 with photo from Russia, Moscow
# docs: https://dev.vk.com/method/users.search

necroshine0

var filter = ["Def Leppard", "Queen", "Rammstein", "Paramore", "Nickelback", "Аннигиляторная пушка", 
              "Manowar", "Ария", "Blooded", "Presley", "KYPCK", "Kypck", "Король", "Metallica", 
              "Сектор", "Primal", "Плесень", "Marilyn", "Lumen", "Anti", "Sabaton", "Sargeist", "Filth", 
              "Арктида", "Marduk", "Bal-Sagoth", "Venom", "Рок-опера", "Skummer", "Jack", "DeadPoint", 
              "Tools of the Trade", "Frightmare", "Apocalyptica", "Элизиум", "Rush", "Океан", "Powerwolf", 
              "Dylan", "Marley", "Radiohead", "Вольная", "Linkin", "Theatres des Vampires", "Krypteria", 
              "Lennon", "Graveworm", "Korn", "Loudness", "Dangerkids", "X-Japan", "SCANDAL", "Стихий", 
              "Hendrix", "2nd Season", "The Pretty Reckless", "Placebo", "Iron Weasel", "System of a Down", 
              "ДДТ", "OOMPH!", "Horizon", "Abyssic", "Moonspell", "Элизиум", "Рахманинов", "Чайковский", "Шопен",
              "Scorpions", "After The Burial", "Saliva", "Slipknot", "The