Programming Code Analysis

Project information

Summary: Developed different methodologies to identify the number of contributors and time cost involved in developing JavaScript codes

Tools: Python, GitHub, Tensorflow, Keras, NumPy, SciPy, Matplotlib, Pandas, Google Colab

Duties: It was an individual project. I developed strong methodologies which help in analyzing various aspects of JavaScript code, by comparing different deep learning and machine learning models in detecting the number of contributors and time cost involved. The analysis also included the importance of complexity in it.

Outcome: Detailed research and analysis were supported by various visualizations of performance comparison of different models. The results concluded that overall machine learning works better than deep learning when working with numbers.

Result: Obtained Credit score for this project.