研究生管理与人工智能应用的对话

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和毕业时间的数据集

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

融合门户系统

X = data[['GPA', 'ResearchHours']]

y = data['GraduationTime']

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)

# 预测毕业时间

prediction = model.predict([[3.8, 150]])

print("预测毕业时间：", prediction[0])