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How to Use pandas DataFrames in Python to Analyze and Manipulate Data

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...
Open Heart

Triglyceride-Glucose Index: a novel prognostic predictor for postoperative cerebral infarction in off-pump coronary artery bypass grafting – insights from a nationwide ...

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...
GitHub

Agentic Document Extraction – Python Library

The LandingAI Agentic Document Extraction API pulls structured data out of visually complex documents—think tables, pictures, and charts—and returns a hierarchical JSON with exact element locations.

Cai Cai's Machine Learning Sklearn Class: Understandable from Scratch, from Model Invocation to Practical Implementation

The design of sklearn follows the "Swiss Army Knife" principle, integrating six core modules: Data Preprocessing: Similar to ...
IEEE

A Flexible Approach Based on Hybrid Global Low-Rankness and Smoothness Regularization With Nonlocal Structure for Traffic Data Imputation

Abstract: Spatialtemporal traffic data are collected by a wide array of data collection devices deployed in intelligent transportation systems, which play crucial roles in data-driven intelligent ...
IEEE

A Comprehensive Survey on Traffic Missing Data Imputation

Abstract: Intelligent Transportation Systems (ITS) are essential and play a key role in improving road safety, reducing congestion, optimizing traffic flow and facilitating the development of smart ...