Quantitative and Qualitative Analysis of AI and ML Projects on Github by the Firsttime Contributors

Abstract

The terms "machine learning" (ML) and "artificial intelligence" (AI) are widely used today. AI is working with many algorithms that include ML also. However, novice users use these two phrases individually. Analyzing and Understanding the significance and role of First Time Contributors in AI and ML projects helps to improvise the projects' content and provides them an opportunity to take up new projects. This work is presented with quantitative and qualitative analysis of AI and ML projects on GitHub. There are three research questions (RQ) prepared to support the analysis. The analysis is made by considering many parameters such as programming languages, forked repositories and commits.