import numpy as np
import pandas as pd
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix,classification_report,accuracy_score
import re
import seaborn as sns
import matplotlib.pyplot as plt

tr = pd.read_csv("./jigsaw-toxic-comment-classification-challenge/train.csv")
ts = pd.read_csv("./jigsaw-toxic-comment-classification-challenge/test.csv")

tr.shape

ts.shape

tr.head(2)