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advanced-ml

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kochlisGit / Advanced-ML

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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.

python machine-learning tensorflow numpy scikit-learn sklearn machine-learning-algorithms pandas semi-supervised-learning class-imbalance active-learning interpretability multi-label-learning cost-sensitive-learning multi-instance-learning advanced-ml multi-relational-data-mining
  • Updated May 1, 2022
  • Jupyter Notebook

kamali1331 / Credit-Card-Fraud-Detection-using-ML-with-Power-BI-Dashboard

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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.

python reporting linear-regression plotly credit-card pandas data-visualization seaborn matplotlib powerbi imbalanced-data smote fraud-detection bar-chart fraud-transactions advanced-ml powerbidashboard ml-basics
  • Updated Jul 26, 2025
  • HTML

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