GitHub topics: advanced-ml
kamali1331/Credit-Card-Fraud-Detection-using-ML-with-Power-BI-Dashboard
This project uses machine learning models like Logistic Regression, Random Forest, and XGBoost to detect fraudulent credit card transactions. It handles class imbalance using SMOTE and visualizes key fraud patterns through an interactive Power BI dashboard.
Language: HTML - Size: 5.99 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
kletobias/advanced-mlops-lifecycle-hydra-mlflow-optuna-dvc
End-to-end MLOps pipeline showcasing senior-level best practices with Hydra for configuration, MLflow for experiment tracking, Optuna for hyperparameter tuning, and DVC for data/version control. This repository focuses on reproducibility, modular design, and streamlined collaboration—an ideal demonstration of advanced MLOps capabilities.
Language: Python - Size: 1.18 MB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
kochlisGit/Advanced-ML
Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.
Language: Jupyter Notebook - Size: 166 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2
