[{"title":"( 11 个子文件 919KB ) 大师级Jupyter笔记本:具有大师工作期间开发的概念和技术的Jupyter笔记本,“使用机器学习预测升降机站的污水溢出”-源码","children":[{"title":"master-degree-jupyter-notebooks-master","children":[{"title":"step_4-data-preparation","children":[{"title":"step_4-data-preparation.ipynb <span style='color:#111;'> 36.37KB </span>","children":null,"spread":false}],"spread":true},{"title":"step_3-data-analysis","children":[{"title":"step_3-data-analysis-and-exploration.ipynb <span style='color:#111;'> 880.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"step_5-model-selection","children":[{"title":"step_5-regression-convLSTM.ipynb <span style='color:#111;'> 167.50KB </span>","children":null,"spread":false},{"title":"step_5-classification-convLSTM.ipynb <span style='color:#111;'> 142.35KB </span>","children":null,"spread":false},{"title":"step_5-classification-CNN.ipynb <span style='color:#111;'> 160.54KB </span>","children":null,"spread":false},{"title":"step_5-classification-LSTM.ipynb <span style='color:#111;'> 127.77KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 433B </span>","children":null,"spread":false},{"title":"step-2-data-collection","children":[{"title":".docker","children":[{"title":"notebook","children":[{"title":"Dockerfile <span style='color:#111;'> 714B </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"docker-compose.yml <span style='color:#111;'> 793B </span>","children":null,"spread":false},{"title":"notebooks","children":[{"title":"step_2-rw-files-from-google-drive.ipynb <span style='color:#111;'> 7.56KB </span>","children":null,"spread":false},{"title":"step_2-database-to-csv.ipynb <span style='color:#111;'> 16.68KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]