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 ...
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

Data Poisoning Offensive and Defensive System in FL-enabled Low-Altitude IoT Scenario: Unlearnable Example Attack and Model Similarity Defend

Abstract: Low-altitude Internet of Things (LAIOT) integrates sensing, communication, and edge intelligence within aerial networks. As a distributed training paradigm, federated learning (FL) is a ...
GitHub

chhornsolita/Sentiment_Analysis_of_Khmer_Text_Using_ML

The project explores multiple machine learning approaches including traditional ML models (Logistic Regression, SVM, Naive Bayes) and ensemble methods (Random Forest, XGBoost, Voting Classifier).
IEEE

Evaluating Data Quality and Preprocessing Methods to Enhance Skeleton-Based Action Recognition in Retail Environments

Abstract: The accuracy of skeleton-based action recognition models can be significantly improved using data processing techniques, particularly in complicated environments such as retail stores where ...