Using Sci-kit learn, an empirical examination of the nigerian graduation report 2018 by suttern and a logistic regression model to predict whether a person would find work after his or her mandated service to the country soon after college.
This project came about as a result of my enthusiasm for data science and pattern matching; I was worried by the high rate of unemployment in Nigeria, and I wondered whether statistics might reveal a hidden tale about our unemployment and my prospects of finding work after graduation. Yes, it did, and the analysis's findings were all accurate and truthful. Additionally, I developed a predictive model that may forecast whether a student would find work after graduation based on a variety of occupational factors. While the model received an 80% confidence level, the categorization report revealed the model's inaccuracy. On second thinking, it is not a mistake; rather, it demonstrates how slim the odds of finding work after graduation are in Nigeria.
The dataset and the project is found on this repository
This is an unpublished side research effort of mine, thanks to Suttern for making their data publicly available