# regression-prediction-algorithms
使用支持向量机、弹性网络、随机森林、LSTM、SARIMA等多种算法进行时间序列的回归预测，除此以外还采取了多种组合方法对以上算法输出的结果进行组合预测。Support vector machine, elastic network, random forest, LSTM, SARIMA and other algorithms are used for regression prediction of time series. In addition, a variety of combination methods are used to forecast the output of the above algorithms.
regression-prediction-algorithms-master.zip （8个子文件） 
regression-prediction-algorithms-master 
SVM+SARIMA.ipynb 195KB classic-machine-learning-algorithms.ipynb 809KB CAMB-algorithms.ipynb 121KB time-series-analysis-algorithms.ipynb 572KB neural-network-algorithms.ipynb 782KB ElasticNet+SARIMA.ipynb 197KB
data.xlsx 24KB README.md 490B资源评论
