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import nltk
import re
nltk.download()
Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\Dell\anaconda3\lib\tkinter\__init__.py", line 1705, in __call__ return self.func(*args) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 1796, in _download return self._download_threaded(*e) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 2082, in _download_threaded assert self._download_msg_queue == [] AssertionError Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\Dell\anaconda3\lib\tkinter\__init__.py", line 1705, in __call__ return self.func(*args) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 1796, in _download return self._download_threaded(*e) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 2082, in _download_threaded assert self._download_msg_queue == [] AssertionError Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\Dell\anaconda3\lib\tkinter\__init__.py", line 1705, in __call__ return self.func(*args) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 1796, in _download return self._download_threaded(*e) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 2082, in _download_threaded assert self._download_msg_queue == [] AssertionError Exception in Tkinter callback Traceback (most recent call last): File "C:\Users\Dell\anaconda3\lib\tkinter\__init__.py", line 1705, in __call__ return self.func(*args) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 1796, in _download return self._download_threaded(*e) File "C:\Users\Dell\anaconda3\lib\site-packages\nltk\downloader.py", line 2082, in _download_threaded assert self._download_msg_queue == [] AssertionError
True
import pandas as pd
import numpy as np 
import matplotlib.pyplot as plt
%matplotlib inline

importing the datasets

df=pd.read_csv('D://aman//padai//datasets//SMSSpamCollection',sep='\t',names=['labels','message'])
df.head()

data cleaning and preprocessing