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!pip install xgboost
!pip install lightgbm
!pip install catboost
import numpy as np
import datetime as dt
import pandas as pd
import seaborn as sns
from scipy import stats
from sklearn.cluster import AgglomerativeClustering
from sklearn.linear_model import Ridge, Lasso, ElasticNet
from sklearn.metrics import mean_squared_error,r2_score
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn import model_selection
import matplotlib.pyplot as plt
from sklearn.linear_model import RidgeCV, LassoCV, ElasticNetCV
from warnings import filterwarnings
filterwarnings('ignore')
!pip install missingno
import missingno as msno
from sklearn.preprocessing import RobustScaler
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score, roc_auc_score, confusion_matrix, classification_report, plot_roc_curve
from sklearn.model_selection import train_test_split, cross_validate
import warnings
warnings.simplefilter(action='ignore')
import xgboost
from sklearn.impute import KNNImputer
from sklearn import preprocessing
from sklearn.neighbors import LocalOutlierFactor
import seaborn as sns
from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split, GridSearchCV 
from sklearn.linear_model import LinearRegression, Ridge, RidgeCV, ElasticNet, Lasso, LassoCV
from sklearn.metrics import mean_squared_error
from sklearn.neighbors import KNeighborsRegressor
from sklearn.neural_network import MLPRegressor
from sklearn.tree import DecisionTreeRegressor
from sklearn.ensemble import RandomForestRegressor
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.svm import SVR
from xgboost import XGBRegressor
from lightgbm import LGBMRegressor
from catboost import CatBoostRegressor
import random
from sklearn.cluster import KMeans
from sklearn.preprocessing import MinMaxScaler
from yellowbrick.cluster import KElbowVisualizer
from scipy.cluster.hierarchy import linkage
from scipy.cluster.hierarchy import dendrogram
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.model_selection import cross_val_score, GridSearchCV
from sklearn.preprocessing import LabelEncoder
pd.set_option('display.max_columns', None)
pd.set_option('display.width', 500)