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(