A comparative study of ML algorithms for anti-money laundering (AML) detection using the IBM AML dataset. Implemented Decision Trees, Random Forests, XGBoost, LGBM, SGD, Logistic Regression, and SV ...

About Repository containing my solutions to the 'Must do Pattern Problems before starting DSA' curated by Striver. These solutions cover a comprehensive set of pattern-based programming problems that ...

The era of big data is like a "data gold mine," and the Big Data Technology and Application major is the core stage for cultivating "alchemists." If you want to know about the core course structure, ...

Despite this fundamental shift in the industry, one thing remains constant: great software development is always about ...

Temperature and emissivity separation (TES) is a crucial process for converting thermal infrared (TIR) hyperspectral data into actionable information. Since the development of thermal infrared ...

A closer look at Google’s AI health coach and the redesigned Fitbit app The Gemini-powered chatbot is at the heart of the revamp.

This research study employed machine learning algorithm in This research study employed a machine learning algorithm in predicting student academic performance in the Data Structures and Algorithm ...

Why agencies must look beyond ‘post-quantum crypto’ algorithms to secure their data As NIST rolls out advanced PQC standards to address the ‘Harvest now, decrypt later’ threat, a new report suggests ...