Open-contributions

This Repository is for sharing knowledge and Learning purpose, and open contributions under DevIncept program.

Follow these steps to make a contribution:

1. Fork this repository.

2. 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

3. 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

4. Add two files for any topic inside that folder:

   1. Markdown File: Explaining the "What" and "Why" part.

   2. Jupyter Notebook: Explaining the "How" part.

      For example: two files in above example will be:

      1. YourName_Objectdetection_OpenCV.md: This file will contain theoritical part about Object detection.
      2. YourName_Objectdetection_OpenCV.ipynb: This file will contain implementation part of object detection.

5. 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.

Resources to start

1. Introduction to markdown
2. Introduction to jupyter Notebook
3. How to create a Pull Request