Jovian
Sign In
Learn practical skills, build real-world projects, and advance your career
3 years ago
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import sklearn 
%matplotlib inline
income_df = pd.read_csv("./adult.csv")
income_df.head()
income_df.describe()
income_df.isnull().sum()
age                0
workclass          0
fnlwgt             0
education          0
educational-num    0
marital-status     0
occupation         0
relationship       0
race               0
gender             0
capital-gain       0
capital-loss       0
hours-per-week     0
native-country     0
income             0
dtype: int64
income_df.age = income_df.age.astype(float)
income_df['hours-per-week'] = income_df['hours-per-week'].astype(float)