小编Sid*_*ava的帖子

import os
from pylab import rcParams
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns; sns.set()
from numpy import *
from scipy import stats
from pandas.plotting import scatter_matrix
import sklearn
import warnings
from imblearn.over_sampling import SMOTE
import tensorflow as tf
from tensorflow.keras.wrappers.scikit_learn import KerasClassifier
from keras.wrappers.scikit_learn import KerasRegressor
from sklearn.model_selection import GridSearchCV
from imblearn.pipeline import Pipeline
from sklearn.linear_model import LogisticRegression


data = pd.read_excel(r'Attrition Data Exercise.xlsx')
X = data.iloc[:, 3:-1].values
y = …