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Updated 3 years ago
Missing Value Imputation through Simple Imputer , Column Transformer , Pipeline classes of Scikit learn.
import pandas as pd
import numpy as np
from sklearn.impute import SimpleImputer
from sklearn.compose import ColumnTransformer
from sklearn.pipeline import Pipeline
train=pd.read_csv("E:\\folder\\house-prices-advanced-regression-techniques\\train.csv")
test=pd.read_csv("E:\\folder\\house-prices-advanced-regression-techniques\\test.csv")
train.head()
x_train=train.drop(columns=["SalePrice"])
y_train=train["SalePrice"]
x_test=test.copy()
#Numerical Columns Categorical variables
is_null_sum=x_train.isnull().sum()
is_null_sum
Id 0
MSSubClass 0
MSZoning 0
LotFrontage 259
LotArea 0
...
MiscVal 0
MoSold 0
YrSold 0
SaleType 0
SaleCondition 0
Length: 80, dtype: int64