Python has become the go-to language for data science thanks to its simplicity, flexibility, and massive library ecosystem. From data preprocessing to creating visualizations and building predictive ...

Python has become the go-to language for data science thanks to its simplicity, versatility, and massive library ecosystem. From cleaning messy datasets to building advanced machine learning models, ...

This repo contains Python code to generate the global dataset of factor returns, stock returns, and firm characteristics from “Is there a Replication Crisis in Finance?” by Jensen, Kelly, and Pedersen ...

Abstract: Chemical process industries require robust fault detection systems to ensure operational safety, product quality, and environmental compliance. However, existing methods face three critical ...

# There are two subjects (with two sessions of data) in the CoRR_HNU dataset involved in the example. To be able to # separate the data into training and test sets, these two subjects will be treated ...

Abstract: Data preprocessing is crucial in side-channel analysis (SCA) to handle high-dimensional traces containing noise and redundancy. While traditional methods like Principal Component Analysis ...