From Single Trees to Forests: Enhancing Real Estate Predictions with Ensembles

# Import necessary libraries for preprocessing

import pandas as pd

from sklearn.pipeline import Pipeline

from sklearn.impute import SimpleImputer

from sklearn.preprocessing import OrdinalEncoder, OneHotEncoder, FunctionTransformer

from sklearn.compose import ColumnTransformer

 

# Load the dataset

Ames = pd.read_csv(‘Ames.csv’)

 

# Convert the below numeric features to categorical features

Ames[‘MSSubClass’] = Ames[‘MSSubClass’].astype(‘object’)

Ames[‘YrSold’] = Ames[‘YrSold’].astype(

 

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