chaitanyarahalkar

Keybase proof

I hereby claim:

• I am chaitanyarahalkar on github.
• I am chairahalkar (https://keybase.io/chairahalkar) on keybase.
• I have a public key whose fingerprint is 40D1 15C8 800A 4E0E 1186 17C4 B451 785B 4F5F 021B

To claim this, I am signing this object:

chaitanyarahalkar

#!/bin/bash 


read -s -p "Enter Password for sudo: " sudoPW

echo "Installing Tor..."

echo $sudoPW | sudo apt install -y tor

echo "Installing Proxychains..." 

chaitanyarahalkar

from statistics import mean
import numpy as np
import random
import matplotlib.pyplot as plt
from matplotlib import style
style.use('ggplot')


def create_dataset(hm,variance,step=2,correlation=False):
    val = 1

chaitanyarahalkar

Keybase proof

I hereby claim:

• I am chaitanyarahalkar on github.
• I am chairahalkar (https://keybase.io/chairahalkar) on keybase.
• I have a public key whose fingerprint is CF83 5C8E 5B49 2547 C8D8 33C3 A9C2 670A 7606 9ED1

To claim this, I am signing this object:

chaitanyarahalkar

import numpy as np 
import pandas as pd 
from mlxtend.frequent_patterns import apriori, association_rules 
import os 
import requests

if not os.path.exists("Online_Retail.xlsx"):
	r = requests.get("http://archive.ics.uci.edu/ml/machine-learning-databases/00352/Online%20Retail.xlsx")
	with open("Online_Retail.xlsx","wb") as f:
		f.write(r.content)

chaitanyarahalkar

import numpy as np 
import pandas as pd 
import re
import nltk 
from nltk.corpus import stopwords
from nltk.stem.porter import PorterStemmer 
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split 
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import confusion_matrix

chaitanyarahalkar

A
A
A
A
A
A
A
A
A
A-

chaitanyarahalkar

#include<stdio.h>
void main()
{
printf("Hello world!");
}