针对数据挖掘与机器学习课程教学过程中存在的问题，提出一流课程建设背景下的课程教学改革思路，以决策树分类模型为例，从课前准备、课堂教学和课后拓展3方面，阐述如何进行课程内容重构、课程思政融合和分层资源构建，最后说明改革特色与成效。

Addressing the issues in the teaching of Data Mining and Machine Learning courses,this paper proposes reform strategies under the framework of first-class curriculum construction.Taking the decision tree classification model as a case study,it elaborates on how to implement course content restructuring,integrate ideological education,and develop hierarchical resources through three phases:pre-class preparation,in-class instruction,and post-class extension.The innovative features and demonstrated effectiveness of this pedagogical reform are systematically analyzed.