MelihGulum/Comprehensive-Data-Science-AI-Project-Portfolio
A curated collection of AI, data engineering, and DevOps projects featuring real-world applications, advanced techniques, and tutorials—ideal for learners and practitioners exploring data science and machine learning.
Spans 7 domains (ML, DL, audio, computer vision, NLP, data engineering, analytics) with 30+ projects using scikit-learn, TensorFlow, Kafka, Docker, and AWS/GCP. Each project includes end-to-end reproducible workflows with hyperparameter tuning (Optuna), model interpretability (SHAP), and real-time deployment via Flask. Covers specialized pipelines: Kafka streaming with PostgreSQL, web scraping ETL, transfer learning on medical imaging, and time-series forecasting with statistical validation.
270 stars.
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Last pushed
Feb 28, 2026
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