TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...
GitHub

nghiata-uit/aqi-prediction

Dự án này xây dựng các models Machine Learning để dự đoán chỉ số chất lượng không khí (AQI) dựa trên dữ liệu lịch sử về các chất ô nhiễm như CO, NO, NO2, O3, SO2, PM2.5, PM10, NH3. aqi-prediction/ ├── ...
Analytics Insight

Top Pandas Courses and Certifications for Python in 2026

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...
IEEE

An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems

Abstract: As fraudulent transaction methods evolve rapidly; it becomes progressively more challenging to detect them in payment systems. Static machine learning and rule-based traditional detection ...
The Register on MSN

Yes, you can build an AI agent - here's how, using LangFlow

AI automation, now as simple as point, click, drag, and drop Hands On For all the buzz surrounding them, AI agents are simply another form of automation that can perform tasks using the tools you've ...
GitHub

GitHub - harshrajput4343/Data-Labeling-and-Preprocessing-Pipeline-using-AWS-SageMaker-Ground-Truth-and-Step-Functions: This project implements an end-to-end AWS-based data ...

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IEEE

TiI: A Novel Framework for Predicting Pre-Tactical Multiple Airports Traffic Flows by Integrating Flight Plans and Weather Data

Abstract: The accurate prediction of traffic flows, defined as the aggregate forecasting of combined departure and arrival volumes across multiple airports within a designated air traffic control zone ...