プロジェクト説明：機械学習、knn、ロジスティック回帰、決定木、統合学習、adaboost勾配ブースティングツリー、SVC、xgboost_哔哩哔哩_bilibiliに基づくデータ分析と鉱工業生産予測の可視化
# 基于机器学习XGB svm LGBM knn的
from sklearn import preprocessing
import random
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
from sklearn import preprocessing
from datetime import datetime
import time
import math
from matplotlib import pyplot
from sklearn.model_selection import train_test_split
from scipy import stats, integrate
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import KFold
from sklearn.metrics import classification_report
from sklearn.model_selection import learning_curve