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# libraries used --> | |
import pandas as pd | |
import numpy as np | |
from sklearn.pipeline import make_pipeline | |
from sklearn.preprocessing import StandardScaler | |
from sklearn.preprocessing import MinMaxScaler | |
from sklearn.model_selection import train_test_split | |
from sklearn.model_selection import KFold | |
# models --> | |
from sklearn import linear_model | |
from sklearn.svm import SVR | |
from sklearn.model_selection import GridSearchCV | |
from sklearn.tree import DecisionTreeRegressor | |
from sklearn.ensemble import GradientBoostingRegressor | |
from sklearn.preprocessing import PolynomialFeatures |
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