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

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.

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