Open-contributions
This Repository is for sharing knowledge and Learning purpose, and open contributions under DevIncept program.
Follow these steps to make a contribution:
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Fork this repository.
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Select any topic which you want to contribute on from any of: Python, ML, Deep Learning, Computer Vision, NLP For example: Object detection using OpenCV
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Create a folder with your name and field you are contributing to, like: FullName_Field For example, if Ram is contributing to openCV, folder name will be: Ram_OpenCV
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Add two files for any topic inside that folder:
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Markdown File: Explaining the "What" and "Why" part.
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Jupyter Notebook: Explaining the "How" part.
For example: two files in above example will be:
- YourName_Objectdetection_OpenCV.md: This file will contain theoritical part about Object detection.
- YourName_Objectdetection_OpenCV.ipynb: This file will contain implementation part of object detection.
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After adding these two files, you can create a pull request.
We believe that "one should learn in a way that he/she can explain it to others" or "Learning by teaching others" is an extremely effective way to learn. You'll have to understand and write what you learned in a Markdown file, not to copy everything (we'll be checking plagiarism before merging it to master) but to explain all important points in the list or tabular format, use images/illustrations over text or whatever you like, in a way that what you write can easily be understood by a person who has no idea about the topic with minimal effort. And for the same topic, if applicable you'll have to write a Jupyter notebook explaining the working of the topics.