Project to evaluate students' academic performance.
This project was my academic evaluation work for my Python course taken at the FEA.Dev institution at the University of São Paulo - USP. I made some improvements from the original project using approaches I learned in other courses and managed to achieve this result.
This is a project for exploratory and predictive analysis of students' academic performance. The dataframe was analyzed, cleaned and modeled. Then I performed the exploratory analysis and, together with the data visualization, I was able to extract the main insights and thus create a predictive analysis to improve students' academic performance.
I also did an Artificial Intelligence project with the variation of new students' grades based on the analysis of the previous project that can be seen in the file alunos_ia.ipynb.
Software and equipment used for development: Python 3.12.8 - Libraries (Pandas, Numpy, Matplotlib, Seaborn, scikit-learn)
Operating System: Windows 11 Home Single Language.
Computer: HP 256 G9 - Intel Core I3.
Data Analysis and Machine Learning
© 2025 - by Robson Silva - Python Programmer and Data Analyst.