Covid 19 India Data
data and code for scrapping and cleaning data on covid-19 in India from https://www.mohfw.gov.in/ and https://www.covid19india.org/
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pandera | 2,807 |  | 97 | 3 months ago | 79 | December 08, 2023 | 321 | mit | Python | |
| A light-weight, flexible, and expressive statistical data testing library | ||||||||||
| Pandas Videos | 1,808 | 2 years ago | Jupyter Notebook | |||||||
| Jupyter notebook and datasets from the pandas Q&A video series | ||||||||||
| Dat8 | 1,549 | 2 years ago | Jupyter Notebook | |||||||
| General Assembly's 2015 Data Science course in Washington, DC | ||||||||||
| Data Forge Ts | 1,236 |  | 22 | 29 | 10 months ago | 143 | July 05, 2023 | 14 | mit | TypeScript |
| The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ. | ||||||||||
| Feature Engineering Tutorials | 217 | a year ago | 5 | agpl-3.0 | Jupyter Notebook | |||||
| Data Science Feature Engineering and Selection Tutorials | ||||||||||
| Covid_19_jhu_data_web_scrap_and_cleaning | 61 | 4 years ago | Jupyter Notebook | |||||||
| This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/ | ||||||||||
| Pandas Gpt | 42 | 5 months ago | mit | Jupyter Notebook | ||||||
| Power up your data science workflow with ChatGPT. | ||||||||||
| Covid 19 India Data | 25 | 4 years ago | Jupyter Notebook | |||||||
| data and code for scrapping and cleaning data on covid-19 in India from https://www.mohfw.gov.in/ and https://www.covid19india.org/ | ||||||||||
| Boltzmannclean | 21 | 4 years ago | 1 | apache-2.0 | Python | |||||
| Fill missing values in Pandas DataFrames using Restricted Boltzmann Machines | ||||||||||
| Multimodal Sentiment Analysis | 20 | 6 years ago | Jupyter Notebook | |||||||
| Engaged in research to help improve to boost text sentiment analysis using facial features from video using machine learning. | ||||||||||
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