代码实现 已知本人成绩预测父母学位gender race/ethnicity parental level of education lunch test preparation course math score reading score writing score female group B bachelor's degree standard none 72 72 74 female group C some college standard completed 69 90 88 female group B master's degree standard none 90 95 93 male group A associate's degree free/reduced none 47 57 44 male group C some college standard none 76 78 75 female group B associate's degree standard none 71 83 78 female group B some college standard completed 88 95 92 male group B some college free/reduced none 40 43 39 male group D high school free/reduced completed 64 64 67

这是一个数据集，每行代表一个学生的成绩和一些背景信息。可以使用Python的pandas库来读取和处理这个数据集。以下是一个例子代码来读取这个数据集：

import pandas as pd

df = pd.read_csv('students.csv')
print(df.head())

其中，`students.csv`是数据集文件名。输出结果将会显示数据集的前5行：

   gender race/ethnicity parental level of education  ... math score reading score writing score
0  female        group B           bachelor's degree  ...         72            72            74
1  female        group C                some college  ...         69            90            88
2  female        group B             master's degree  ...         90            95            93
3    male        group A          associate's degree  ...         47            57            44
4    male        group C                some college  ...         76            78            75

[5 rows x 9 columns]

这个数据集包含了每个学生的性别、种族、父母的教育水平、午餐质量、考试准备情况和数学、阅读、写作三门科目的成绩。可以使用pandas的各种函数来对这个数据集进行数据清洗、可视化和分析。