随机森林、LSTM、SVM、线性回归四种机器学习方法预测股价

上传者: 52057528 | 上传时间: 2022-06-17 16:06:31 | 文件大小: 864KB | 文件类型: ZIP
通过多种机器学习股票价格预测,包括随机森林(Random Forest),决策树(SVM),线性回归(LinearRegression),长短期记忆(LSTM)。 利用toshare获取600519.sh 2000-2020年数据,除了随机森林外基本都是以前19年数据做训练集,最后一年做预测。数据获取的文件在toshare文件夹,获取好的数据集一并在内。想自己拿数据,注册toshare换接口即可。 这些内容都是结课实践要求下我搜集网络资料学习而来,自己理解修改整理使得基本以同一个数据集进行预测。可以说对国内网络上参差不齐的简单机器学习股票预测做了一个复现整理。这对我的机器学习知识有一定帮助,也希望能帮助到需要它的人。 全部为jupterbook格式,代码注释全面且执行效果都在。 适合个人学习、课程团队作业、毕业设计参考等。

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