This Repository's sole purpose is to help beginners and as well as experienced people contribute to Data Science and Machine Learning. The repository consists of a large number of Data Science and Machine Learning implemented particularly in Python. Any other language is also accepted.
Some of the topics include :
- Data Visualization
- Data Analytics
- Data Warehouse
- Data Mining
- Machine Learning
As a part of Hacktoberfest Code of Conduct no spamming or irrelevant PRs will be accepted.
- Read the Contributing Guidelines before making a PR.
- Check for existing issues or create your own issues and wait for it to be assigned to you.
- Fork the repository
- Clone the forked repository to your local machine
- Create a folder with the name of the data analytics or Machine Learning or solution to a question you want to add if it is not present.
- Add the code to that folder
- Add a README.md file to the folder explaining the code with proper documentation
- Open the command prompt and cd into the repository folder
- Run the following Commands git add . git commit -m"" git push
- Come back to Github and Open a Pull Request
- While making Pull Request maintain the template provided to you
- We will check if its a valid pull request and merge it