nicksyna01’s gists

nicksyna01 / bulk_email.py

Created July 22, 2019 20:53

Code to send email to a lot of people and landing that to their inbox instead of spam

	import smtplib
	import pandas as pd
	from email.mime.multipart import MIMEMultipart
	from email.mime.text import MIMEText

	mail_content = """
	Question: a. What are the symptoms of Nipah?Common carriers of Nipah virus?
	c. Nipah is which type of virus?
	d. How is it spread normally?
	e. First place of it’s outbreak?

nicksyna01 / Page_Links_Extraction.py

Created July 22, 2019 20:38

Code to Extract Links of all the Pages in a Website

	import re
	import urllib
	import urllib.request as ur
	from bs4 import BeautifulSoup

	html_page = ur.urlopen("http://upscanthro.com/questions/")
	soup = BeautifulSoup(html_page)
	a = []
	for link in soup.findAll('a', attrs={'href': re.compile("^http://")}):
	a.append(link)

nicksyna01 / Google_Search_&_Scraping.py

Created July 22, 2019 20:35

Python Code to Google_Search followed by Web_Scraping and Saving that to a Document

	from googlesearch import search
	import urllib.request as ur
	from bs4 import BeautifulSoup


	try:
	from googlesearch import search
	except ImportError:
	print("No module named 'google' found")

nicksyna01 / Google_Search.py

Created July 22, 2019 20:32

Using Google Search Function Using Python To Search For a Term and Showing the Top Results for it

	from googlesearch import search
	import urllib.request as ur
	from bs4 import BeautifulSoup


	try:
	from googlesearch import search
	except ImportError:
	print("No module named 'google' found")

nicksyna01 / classifiers.py

Created July 22, 2019 20:22

How to use basic classifiers

	from sklearn.tree import DecisionTreeClassifier
	from sklearn.neighbors import KNeighborsClassifier
	from sklearn.neural_network import MLPClassifier
	from sklearn.ensemble import RandomForestClassifier

	#{height, weights, shoe size}
	X = [[190,70,44],[166,65,45],[190,90,47],[175,64,39],[171,75,40],[177,80,42],[160,60,38],[144,54,37]]
	Y = ['male','male','male','male','female','female','female','female']

	#Predict for this vector (height, wieghts, shoe size)

nicksyna01 / sentence_tokenizer.py

Created July 22, 2019 20:16

Simple Code to Convert Text to Sentences

	from nltk import tokenize
	import pandas as pd
	import csv

	p = ''''''

	sent = tokenize.sent_tokenize(p)
	#print(len(sentence))
	#sent.to_csv('out.csv')

nicksyna01 / text_classification.py

Last active November 18, 2020 05:16

Text Classification

	import pandas as pd
	from sklearn.model_selection import train_test_split
	from sklearn.metrics import accuracy_score, confusion_matrix
	from sklearn.metrics import classification_report
	from sklearn.naive_bayes import MultinomialNB
	from sklearn.pipeline import Pipeline
	from sklearn.feature_extraction.text import TfidfTransformer
	from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer

	#Are the tags which we are using currently for tagging the sentences