This project forked from zhibihuanian/-lstm
通过爬虫获取六合彩数据，然后再通过LSTM算法对彩票进行预测
#数据采集： collect_csv : 爬取数据到csv，生成ssq.txt #数据清洗： process : 处理文件ssq.txt,对数据进行清洗预览功能;
模型创建（模型训练和生成）： LSTM_train : 训练数据 （通过修改status的值去训练哪个球的模型；事先这里七个球都训练好了，后续觉得哪个球的准确率不高，可以自行修改模型） 模型预测： LSTM_pre : 模型预测
最终生成的data_pre.csv为结果输出；
安装python的依赖库： python3.6 tensorflow==1.3.0 numpy==1.19.3 pandas==1.1.4 requests==2.24.0 beautifulsoup4=4.7.1
如果实现财富自由，请酌情打赏一下作者，作者很穷的。
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