Nithilaa Umasankar Nithilaa

## installation1.py
pip install pycaret

## install1.py
pip install pycaret

## install2.py
!pip install pycaret

## install3.py
from pycaret.utils import enable_colab
enable_colab()

## install4.py
pip install --upgrade pycaret

## data_preproc_1.py
df1 = df1.drop(["review_id", "title", "year"], axis=1)
df1 = df1.rename(columns={"user_suggestion":"Flag", "user_review":"Review"})
df1.head()

## dependecies.py
pip install BeautifulSoup4

import bs4
import re
from bs4 import BeautifulSoup

## remove_http.py
%time df2['Review_Processed'] = df2['Review'].map(lambda x : ' '.join(re.sub("(@[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)"," ",x).split()))

## lower_case.py
%time df2['Review_Processed'] = df2['Review_Processed'].map(lambda x: x.lower())

## remove_punc_unicode.py
%time df2['Review_Processed'] = df2['Review_Processed'].map(lambda x : re.sub(r'[^\x00-\x7F]+',' ', x))
%time df2['Review_Processed'] = df2['Review_Processed'].map(lambda x: re.sub(r'[^\w\s]', '', x))
	df1 = df1.drop(["review_id", "title", "year"], axis=1)
	df1 = df1.rename(columns={"user_suggestion":"Flag", "user_review":"Review"})
	df1.head()
	pip install BeautifulSoup4

	import bs4
	import re
	from bs4 import BeautifulSoup
	%time df2['Review_Processed'] = df2['Review_Processed'].map(lambda x : re.sub(r'[^\x00-\x7F]+',' ', x))
	%time df2['Review_Processed'] = df2['Review_Processed'].map(lambda x: re.sub(r'[^\w\s]', '', x))