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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.model_selection import cross_val_score, train_test_split, GridSearchCV
from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, mean_absolute_error
from sklearn.decomposition import PCA
from sklearn.neighbors import KNeighborsRegressor
%matplotlib inline
df = pd.read_csv("~/Downloads/melbourne-housing/MELBOURNE_HOUSE_PRICES_LESS.csv")
full_df = pd.read_csv("~/Downloads/melbourne-housing/Melbourne_housing_FULL.csv")
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