sriksmachi/sriksml

Welcome to SriksML – a comprehensive repository of hands-on, production-inspired Jupyter notebooks and code samples for modern machine learning, deep learning, and AI workflows.

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This project provides practical, hands-on examples for anyone looking to build or implement advanced machine learning and AI solutions. It offers ready-to-use Jupyter notebooks and code samples that go from classical data analysis to cutting-edge generative AI. You can learn how to create fraud detection systems, build recommendation engines, develop AI agents, or fine-tune large language models.

No commits in the last 6 months.

Use this if you are a machine learning practitioner, researcher, or enthusiast who wants to apply sophisticated ML/AI techniques to real-world problems and understand how these systems work in practice.

Not ideal if you are new to machine learning and need an introductory guide to core concepts without code examples or advanced implementations.

fraud-detection recommendation-systems natural-language-processing causal-inference telemetry-analysis
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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Last pushed

Jul 23, 2025

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