将CSV加载到Scikit Learn

import pandas as pd
from sklearn.model_selection import train_test_split

data = pd.read_csv('data.csv')

# 处理缺失值
data = data.dropna()

# 处理分类变量
data = pd.get_dummies(data)

# 特征缩放
from sklearn.preprocessing import StandardScaler
scaler = StandardScaler()
data_scaled = scaler.fit_transform(data)

X = data_scaled.drop('target', axis=1)
y = data_scaled['target']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

from sklearn.tree import DecisionTreeClassifier
clf = DecisionTreeClassifier()
clf.fit(X_train, y_train)
y_pred = clf.predict(X_test)