Context, not content, now drives AI visibility, making structured data the strategic data layer every enterprise must ...

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 ...

FMCG brands are prioritizing first-party data strategies, leveraging q-commerce and D2C for deeper customer insights. The newsletter explores the evolution of marketing analytics, from gut ...

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 ...