Data Visualisation using Python This project showcases data visualization techniques using some of the most widely used Python libraries: pandas, seaborn, and matplotlib. It provides an overview of ...

Correlation coefficients can mean a positive, negative, or no relationship between two variables. Use correlation coefficients to help pick securities for your portfolio.

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

Learn how to use Python in Excel for data analysis, combining powerful plots and libraries with Excel's formulas and tables in a secure, efficient environment.

In unsupervised graph anomaly detection, existing methods usually focus on detecting outliers by learning local context information of nodes, while often ignoring the importance of global context.

In this paper, we propose a novel correlation-guided registration network (CGNet) specifically designed for deformable medical image registration tasks, which achieves a reasonable and accurate ...

If you fabricate metal products, understanding your material’s properties is key to your success. One valuable tool to help you measure material behavior during deformation and predict production ...

🎬 Trending Movies Data Analysis This repository contains an exploratory data analysis (EDA) of a movie dataset featuring trending titles. The project includes visualizations, summary statistics, and ...