A fully functional Neural Network written in python showing the input data and predictions. Accuracy=70%
This project is a long awaited one I have delayed, but here it is. It uses a candidate number from the /raw/nssco_2023.csv and /raw/nssco_2024.csv, Extracts the symbol obtained in each subject, then calculates the points. The features I used were candidate number (Which was converted to its alphanumeric equivalence), the center number (Converted to octal), last four digits (converted to octal), and the pass or no pass. I defined my pass as more than 21 points. To get started do the following:
- Download the code or clone this repo
- Op