学生信息管理系统

迎新系统

import pandas as pd

from sklearn.model_selection import train_test_split

from sklearn.linear_model import LinearRegression

# 假设有一个包含学生成绩的数据集

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

X = data[['hours_studied', 'attendance']]

y = data['final_score']

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

model = LinearRegression()

model.fit(X_train, y_train)

# 预测成绩

prediction = model.predict([[10, 95]])

print(f'预测成绩: {prediction[0]}')