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.
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.
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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.
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Jupyter Notebook
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Last pushed
Jul 23, 2025
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