Artificial Intelligence for Congressional Bills in 2024

Artificial Intelligence for Congressional Bills in 2024. AI authority Data Mining Mike teaches how to use machine learning to find earmarks in congressional OMNIbus bills. It demonstrates the parsing and cleaning of the bill into its key variables; Exploring the variables, discovering Benford’s Law in the tails and visualizing the bill in 3d Space. The document was reduced from 1050 pages to 827 instances of top line spending. Exploring the strata in the bill to find statistically significant differences. Using dimensionally reduction techniques such as Principal Component Analysis and K-Means cluster analysis. A helpful DIY video for people in the political world. Expert analysis brought to you by Data Mining Mike of the BloomingBiz Media Network and Spokane AI. Here is the scholarly blog article that gives you access to the code in python and links to the dataset so you can replicate the findings yourself (thats science):