# Suppressing Warnings

import warnings

warnings.filterwarnings('ignore')

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

import seaborn as sns

%matplotlib inline

# Data Preparation

from sklearn.model_selection import train_test_split

from sklearn.preprocessing import StandardScaler

from imblearn.over_sampling import SMOTE

from sklearn.decomposition import IncrementalPCA

# Model Building

import statsmodels.api as sm

from sklearn.linear_model import LogisticRegression

from sklearn.feature_selection import RFE

from statsmodels.stats.outliers_influence import variance_inflation_factor

from sklearn.model_selection import GridSearchCV

from sklearn.tree import DecisionTreeClassifier

from sklearn.ensemble import RandomForestClassifier

import xgboost as xgb

# Model Evaluation

from sklearn import metrics

from sklearn.metrics import confusion_matrix