This repository is for knowledge purpose ONLY.
A curated list of awesome Machine Learning and Data Science applications in each Industry/Domain.It has list of applied machine learning and data science notebooks and libraries accross different industries/domains. The code in this repository is in Python (primarily using jupyter notebooks) unless otherwise stated.
Caution: This is a work in progress, please contribute, especially if you are a subject expert in any of the industries listed below. If you are a [practioner, analytical, computational, statistical, quantitive] researcher/analyst in field X or a field X [machine learning engineer, data scientist, modeler, programmer] then your contribution will be greatly appreciated.
If you want to contribute to this list (please do), send me a pull request or contact me [email protected] or on linkedin. Also, a listed repository should be deprecated if:
Repository's owner explicitly say that "this library is not maintained". Not committed for long time (1-2 years).
Accommodation & Food | Agriculture | Banking, Finance& Insurance | Biotechnological & Life Sciences | Construction & Engineering | Education & Research | Emergency & Relief | Manufacturing | Government and Public Works | Healthcare | Media & Publishing | Justice, Law and Regulations | Miscellaneous | Real Estate, Rental & Leasing | Energy/Utilities | Retail or eCommerce | Sales and Marketing | Cybersecurity | Trading | Logistics | Automobile | Airlines | Telecommunications | Transportation | Pharma | Security | Transportation | Smartphones | Fashion | Supply chain management |
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Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 | Use case 1 |
- Describe any prerequisites, libraries, OS version, etc., needed before installing program.
- ex. Windows 10
- How/where to download your program
- Any modifications needed to be made to files/folders
- How to run the program
- Step-by-step bullets
code blocks for commands
Any advise for common problems or issues.
command to run if program contains helper info
Contributors names and contact info
- 0.1
- Initial Release
This project is licensed under the [NAME HERE] License - see the LICENSE.md file for details
Inspiration, code snippets, etc.