基于SVM的股票预测 Python

[{"title":"（ 12 个子文件 82KB ） 基于SVM的股票预测 Python","children":[{"title":"基于SVM的股票预测 Python","children":[{"title":"Python 股票价格预测（以中兴通讯为例）.py <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false},{"title":"tusharetest.xlsx <span style='color:#111;'> 9.65KB </span>","children":null,"spread":false},{"title":"time_series_predictionSVM","children":[{"title":"read_data_2.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"svmprediction_2.py <span style='color:#111;'> 1.88KB </span>","children":null,"spread":false},{"title":"20180829.xlsx <span style='color:#111;'> 34.94KB </span>","children":null,"spread":false},{"title":"20180829_2.xlsx <span style='color:#111;'> 35.08KB </span>","children":null,"spread":false},{"title":"基于SVM的时间序列预测.txt <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"__pycache__","children":[{"title":"read_data_2.cpython-37.pyc <span style='color:#111;'> 877B </span>","children":null,"spread":false},{"title":"read_data.cpython-37.pyc <span style='color:#111;'> 873B </span>","children":null,"spread":false}],"spread":true},{"title":"read_data.py <span style='color:#111;'> 1.55KB </span>","children":null,"spread":false},{"title":"svmprediction.py <span style='color:#111;'> 1.75KB </span>","children":null,"spread":false}],"spread":true},{"title":"python时间序列ARIMA的实现及原理（预测茅台股票数据）","children":[{"title":"stock_arima.py <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]