Python Para Analise De Dados - 3a Edicao Pdf ((hot)) -

from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestRegressor from sklearn.metrics import mean_squared_error

# Handle missing values and convert data types data.fillna(data.mean(), inplace=True) data['age'] = pd.to_numeric(data['age'], errors='coerce') Python Para Analise De Dados - 3a Edicao Pdf