Covid 19 Outbreak Paths
Projects to explore detailed outbreak paths. Mostly dataviz using Power BI
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Go Recipes | 3,584 | 4 months ago | 13 | mit | Go | |||||
| 🦩 Tools for Go projects | ||||||||||
| Covidtesting | 192 | 2 years ago | JavaScript | |||||||
| The COVID-19 Testing Gap: an interactive data visualization | ||||||||||
| Rundfunk Mitbestimmen | 34 | 4 years ago | 99 | mit | Ruby | |||||
| How should your broadcasting fees be spent? Publish your support and improve the program. | ||||||||||
| Ngx Charts Builder | 26 | 3 years ago | TypeScript | |||||||
| 🚀 Chart Builder for ngx-charts! | ||||||||||
| Contactless Attendance System | 18 | 2 years ago | 1 | mit | Python | |||||
| ✨ A Contactless Attendance System where your face is identified for Attendance. | ||||||||||
| Computing With Data | 15 | 10 months ago | 1 | Java | ||||||
| Code samples for my book "Computing with Data: An Introduction to the Data Industry" | ||||||||||
| Covid 19 Outbreak Paths | 14 | 10 months ago | mit | Python | ||||||
| Projects to explore detailed outbreak paths. Mostly dataviz using Power BI | ||||||||||
| Opis Manager | 14 | a year ago | 18 | gpl-3.0 | TypeScript | |||||
| This tool performs the data visualization of the OPIS results | ||||||||||
| Bayesabtest | 10 | 2 years ago | 7 | March 29, 2022 | 5 | mit | Python | |||
| A simple to use AB testing framework that lets anyone perform bayesian data analysis | ||||||||||
| Predicting Survival On Titanic With Machine Learning And Graphical User Interface | 6 | 5 years ago | Python | |||||||
| This program consists of clean and polished Graphical User Interface (GUI) that interacts with 8 Machine Learning models and data visualization tools through the use of different Python libraries. The user can interact with the GUI through selecting which model to run on the testing data on, which then takes them to a screen displaying the prediction results of the testing data as well as the general model accuracy. The screen also includes various buttons that, when selected, display complex and attractive data visualizations on the testing data. | ||||||||||
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