DeadmanDAO has been hard at work on the second iteration of our Web3 Hacker Network project. The data engineering stage starts with extracting stats on each of 2,629 commits in our first dataset on 39 projects. Then we move on to analyzing the stats and deciding which ones show potential to be features in the classifier.

Analysis of seven of the key features can be seen in this notebook:
https://github.com/Deadman-DAO/Web3HackerNetwork/blob/main/sandbox/notebooks/matt/commit_stat_engineering.ipynb

See our second iteration overview here:
https://wiki.deadmandao.com/index.php/W3HN_Iteration_Two