Jovian
Sign In
Learn practical skills, build real-world projects, and advance your career
import warnings
warnings.filterwarnings('ignore')
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
dataset = pd.read_csv("https://raw.githubusercontent.com/ingledarshan/upGrad_Darshan/main/Restaurant_Reviews.tsv",
                     delimiter='\t', quoting=3)
dataset.head()
dataset.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 1000 entries, 0 to 999 Data columns (total 2 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Review 1000 non-null object 1 Liked 1000 non-null int64 dtypes: int64(1), object(1) memory usage: 15.8+ KB