An aggregator repository for collecting machine learning techniques for classifying between multiple coding languages.
The dataset is a collection of codes written for various programming languages. The aim of the classifiers is compare and evaluate various machine learning techniques for our analysis. The uneven distribution of the dataset, further adds to the complexity of the problem.
Check out the demo.ipynb and employ not previously implemented machine learning algorithms for analysis and comparison.
When contributing to this repository, please first discuss the change you wish to make via issue, email, or any other method with the owners of this repository before making a change. We also make available a CONTRIBUTING.md and CODE_OF_CONDUCT.md for easy communication and quick issue resolution.