Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/robson-python/academic-performance
Project to evaluate students' academic performance.
https://github.com/robson-python/academic-performance
csv-import data data-analysis data-science jupyter-notebook machine-learning matplotlib pandas python scikit-learn seaborn vscode
Last synced: 1 day ago
JSON representation
Project to evaluate students' academic performance.
- Host: GitHub
- URL: https://github.com/robson-python/academic-performance
- Owner: Robson-Python
- License: gpl-3.0
- Created: 2025-01-23T14:09:45.000Z (19 days ago)
- Default Branch: main
- Last Pushed: 2025-02-05T16:09:39.000Z (6 days ago)
- Last Synced: 2025-02-05T17:24:14.508Z (5 days ago)
- Topics: csv-import, data, data-analysis, data-science, jupyter-notebook, machine-learning, matplotlib, pandas, python, scikit-learn, seaborn, vscode
- Language: Jupyter Notebook
- Homepage:
- Size: 1.21 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Academic-Performance
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.