# HiddenSharp/LSTM-SVM-RF-time-series

<https://repo.masters-masters.com/en/repos/HiddenSharp/LSTM-SVM-RF-time-series>

[Home](https://repo.masters-masters.com/en) › [HiddenSharp](https://repo.masters-masters.com/en/owners/HiddenSharp) › [LSTM-SVM-RF-time-series](https://repo.masters-masters.com/en/repos/HiddenSharp/LSTM-SVM-RF-time-series)

HiddenSharp/LSTM-SVM-RF-time-series has 200 stars on GitHub. Its RepoMasters card: Prototype tier. Regression prediction of time series data using LSTM, SVM…

| Field | Value |
| --- | --- |
| Owner | [HiddenSharp](https://repo.masters-masters.com/en/owners/HiddenSharp) |
| Stars | 200 |
| Forks | 39 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2020 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [HiddenSharp/LSTM-SVM-RF-time-series](https://github.com/HiddenSharp/LSTM-SVM-RF-time-series) |

## Repository

Regression prediction of time series data using LSTM, SVM and random forest. 使用LSTM、SVM、随机森林对时间序列数据进行回归预测，注释拉满。

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.