classification Project In [1]: 1 # 1. model Training 2 # 2. Best Model 3 # 3. Tunning the best Model In [2]: 1 import pandas as pd 2 import numpy as np 3 import matplotlib . pyplot as plt 4 import seaborn as sns 5 from sklearn . model_selection import train_test_split 6 from sklearn . model_selection import GridSearchCV 7 from sklearn . preprocessing import StandardScaler , MinMaxScaler 8 from sklearn . linear_model import LogisticRegression 9 from sklearn . tree import DecisionTreeClassifier 10 from sklearn . neighbors import KNeighborsClassifier 11 from sklearn . svm import SVC 12 from sklearn . naive_bayes import GaussianNB , MultinomialNB 13 from sklearn . ensemble import AdaBoostClassifier , GradientBoostingClassifier , RandomForestClassifier 14 from xgboost import XGBClassifier 15 #Grid Search 16 from sklearn . model_selection import RepeatedStratifiedKFold 17 from sklearn . model_selection import GridSearchCV 1...