text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

data = pd.read_csv('../input/house-rent-prediction-dataset/House_Rent_Dataset.csv')
data

data.isnull().sum()

data = data.drop('Posted On', axis=True)
data

data.dtypes

data = data.drop(['Floor', 'Area Type', 'Area Locality'], axis=1)
data

data['Posted_On'] = data['Posted_On'].astype(int)