Learn the NumPy trick for generating synthetic data that actually behaves like real data.
Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles are available in the industry? Will I need to be a good ...
MMHuman3D — dataset preprocessing utilities, evaluation protocols, and loaders that informed our data pipeline. ZOLLY & PDHuman — PDHuman dataset and related preprocessing guidance and ZOLLY as ...
Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of ...
Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...
Abstract: Vehicle-road collaboration is an effective means of improving perception capacities and enhancing safety of intelligent connected vehicles (ICVs). A larger volume of perception data ...
Diabetes affects over 537 million adults globally, with early detection critical for effective treatment and management. This project develops a machine learning classification model to predict ...