• Импорт необходимых библиотек
import matplotlib.pyplot as plt
import seaborn as sns
import scipy
import re
import missingno as mso
from scipy import stats
from scipy.stats import ttest_ind
from scipy.stats import pearsonr
from sklearn.preprocessing import StandardScaler,LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.svm import SVC
from sklearn.ensemble import GradientBoostingClassifier
from xgboost import XGBClassifier
from sklearn.metrics import accuracy_score,confusion_matrix,classification_report
import pandas as pd• Чтение CSV-файла
data=pd.read_csv("/content/seattle-weather.csv")
data.head()• Форма данных
data.shape(1461, 6)
import warnings
warnings.filterwarnings('ignore')
sns.countplot("weather",data=data,palette='hls')📌Продолжение
@pro_python_code