COVID19_mobility
Respiratory-Disease-Coughing-Dataset-CNN
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| COVID19_mobility | Respiratory-Disease-Coughing-Dataset-CNN | |
|---|---|---|
| 5 | 1 | |
| 263 | 2 | |
| - | - | |
| 4.0 | 5.1 | |
| 6 months ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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COVID19_mobility
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How did everyone here learn how to webscrape? and have any of you made any cool projects with it?
Specifically for learning Scrapy, I recommend this book, which helped me at the starting point. https://www.amazon.com/Learning-Scrapy-Dimitrios-Kouzis-Loukas/dp/1784399787 But this, of course, is not enough, only practice and studying the experience of experienced colleagues on a real project have seriously improved my mastery. I also have a pet project, which I am not super proud of, but anyway, that has given me invaluable experience in maintaining open-source repo. https://github.com/ActiveConclusion/COVID19_mobility Despite some poor architectural decisions, I see that it's cited in some papers and used in university course labs works because sometimes students still ask me something about it. I absolutely didn't expect that, it looks sort of funny and nice to me.
- Archive of Apple Mobility Data (COVID)
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Coronavirus Datsets
COVID-19 Mobility Data Aggregator [source comment]
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Any Practical Python Book for a Beginner starting his Machine Learning Journey?
Download some real data https://github.com/ActiveConclusion/COVID19_mobility and play with it.
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A national mask mandate in the US early in the COVID-19 pandemic could have led to as much as 47% less deaths nationally by the end of May, which roughly translates to up to 47,000 saved lives.
I haven't stayed up with it, but did some early tinkering with Google Mobility data and found that every county in the US was trending similarly across all categories in the Google Mobility data (e.g. down in workplace and recreation, up in residential).
Respiratory-Disease-Coughing-Dataset-CNN
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Respiratory Disease/ Coughing Spectrogram dataset with CNN
Recently for my essay, I collected a dataset of coughing spectrograms from the different audio datasets and did some processing to have this one. I used it for building a CNN that recognizes if a patient has respiratory disease or not, but the datset is mainly composed of COVID 19 patients. I buit the network using python tensorflow and keras. Link to the github repo is here: https://github.com/KenWuqianghao/Respiratory-Disease-Coughing-Dataset-CNN
What are some alternatives?
covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
airscraper - Airtable backup script package
Youtube-Code-Repository - Repository for most of the code from my YouTube channel
music-downloader - This program will first get the metadata of various songs from metadata providers like musicbrainz, and then search for download links on pages like bandcamp. Then it will download the song and edit the metadata accordingly.
covid-19-data - A repository of data on coronavirus cases and deaths in the U.S.
ncov - Nextstrain build for novel coronavirus SARS-CoV-2