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https://github.com/carrychang/2019-ncov-vis
参与针对于2019-nCoV数据可视化预测项目，后端完全使用ElasticSearch集群/Redis缓存，利用Flask提供API Server，利用前端/中后/前台的接口配合完成新型冠状病毒的疫情发展的相关信息可视化以及预测，方便观察疫情发展情况，并结合机器学习模型对疫情进行预测。
https://github.com/carrychang/2019-ncov-vis
2019-ncov 2019-ncov-data-vis data-mining elasticsearch-cluster flask-echart nosql-data-storage sklearn-lr
Last synced: 2 days ago
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参与针对于2019-nCoV数据可视化预测项目，后端完全使用ElasticSearch集群/Redis缓存，利用Flask提供API Server，利用前端/中后/前台的接口配合完成新型冠状病毒的疫情发展的相关信息可视化以及预测，方便观察疫情发展情况，并结合机器学习模型对疫情进行预测。
- Host: GitHub
- URL: https://github.com/carrychang/2019-ncov-vis
- Owner: CarryChang
- License: apache-2.0
- Created: 2020-01-29T16:46:35.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2020-03-13T05:07:46.000Z (over 4 years ago)
- Last Synced: 2023-03-05T14:23:30.408Z (over 1 year ago)
- Topics: 2019-ncov, 2019-ncov-data-vis, data-mining, elasticsearch-cluster, flask-echart, nosql-data-storage, sklearn-lr
- Language: Python
- Homepage:
- Size: 3.23 MB
- Stars: 23
- Watchers: 3
- Forks: 5
- Open Issues: 0