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’s built-in data structures—like lists, tuples, sets, and dictionaries—are the backbone of efficient, readable, and scalable code. Knowing when and how to use each can drastically improve ...

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: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.

Abstract: Neural networks are often benchmarked using standard datasets such as MNIST, FashionMNIST, or other variants of MNIST, which, while accessible, are limited to generic classes such as digits ...

Money laundering remains one of the most persistent threats to the stability of the global financial ecosystem. The complexity and volume of transactions, combined with the growing adoption of digital ...