最近学校要求使用百度飞桨去完成一些机器学习的经典项目,包括:
- 工业蒸汽预测
- 手写体数字识别
- 波士顿房价预测
但是还是在本地机器上跑模型更顺畅一些,哈哈,于是就没有使用飞桨
在工业蒸汽量预测题目中,一共使用了
随机森林、决策树、SVM、LightGBD这四种方法
通过对比MSE
的大小,对这些模型做了对比分析,从而选出最优模型
一些机器学习的经典案例,使用了百度飞桨的API
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