An offline Streamlit web application powered by Python, Pandas, and Scikit-Learn that automatically detects dataset types and normalizes numeric data securely without external APIs.
-
Updated
Sep 17, 2026 - Python
An offline Streamlit web application powered by Python, Pandas, and Scikit-Learn that automatically detects dataset types and normalizes numeric data securely without external APIs.
A machine learning project demonstrating data transformation, matrix operations, visualization, and normalization using linear algebra.
Database normalization
The objective of this analysis was to explore potential correlations between player attributes (such as average age and weight across different positions) and key team performance metrics from the 2023 NFL season.
To associate your repository with the datanormalization topic, visit your repo's landing page and select "manage topics."