isolationforest

One-class classifiers for anomaly detection (outlier detection)

implement of ML-based anomaly detection models to identify cyberattacks from NetFlow data

ISOLATION FOREST ALGORITHM FOR PIEZO DATA

Machine Learning Algorithms & Data Manipulation with Python A collection of machine learning algorithms and data manipulation techniques using Python and Scikit-learn. Covers regression, classification, clustering, and neural networks, using real email and NSL-KDD datasets for practical applications.

A simple, yet powerful Python-based network anomaly detection tool that uses machine learning to analyze network traffic and detect suspicious activity. The tool integrates with the VirusTotal API to check the reputation of anomalous IP addresses.

신용카드 거래 데이터에서 이상치를 탐지하는 분석 모델 개발

End to end GPU Telemetry Lakehouse with Prefect, dbt, DuckDB, and ML anomaly detection

Urban crime prediction platform using 7M+ Chicago crime records to forecast zone-wise crime risk across time and location with SHAP explainability. Automated ETL pipelines. XGBoost models with Optuna hyperparameter tuning. Isolation Forest for anomaly-based hotspot detection.

WUElev8 - DecodeEV Hackathon

Detects suspicious web traffic in access logs: rule-based brute-force, scanner and exfiltration checks plus IsolationForest anomaly scoring, with an HTML report.