playing-with-data
This repo is a playground for various data science operations that one may want to implement. Anything from basic data manipulation operations to complex algortithms can be implemented here.
How to contribute
If you wish to contribute, please submit a pull request stating the additions you would like to make to the repository and category of code your Jupyter notebook deals with - Data Analysis, Supervised Learning, Unsupervised Learning or Reinforcement Learning and mention the dataset you have worked with. If the data is not available as an API call, please include a copy of the data or a link to obtain the same.
- Along with this, please create a new directory under the respective area you want to contribute to.
- For example: If you wish to contribute your work on the Iris dataset under the domain Supervised Learning, create a directory with a name like
supervised_learning_irisor a specific algorithm you wish to apply in thesupervised_learningdirectory. - Let the commit message include the domain as well as the dataset you are working with.
Please work with Jupyter notebooks and maintain some documentation on what your code does.