This repository curates a comprehensive collection of video playlists and project tutorials focused on Data Science, Generative AI, and Machine Learning for 2024. It targets individuals preparing for data science interviews and those seeking to build industry-ready projects, offering a structured learning path from foundational concepts to advanced LLM applications.

How It Works

The repository acts as a curated index, linking to extensive video playlists covering core data science topics (Statistics, Machine Learning, Deep Learning, NLP) and specialized Generative AI areas like LLM fine-tuning, RAG, and specific frameworks (Langchain, LlamaIndex, AWS Bedrock, Google Gemini). It also showcases end-to-end project implementations, demonstrating practical application of these technologies.

Quick Start & Requirements

This repository is a collection of links to external video content and project repositories. No direct installation or code execution is required from this repository itself.

Highlighted Details

• Extensive coverage of LLM fine-tuning techniques including LoRA and QLoRA.
• Numerous end-to-end project examples with MLOps, deployment, and specific tools like Docker, GitHub Actions, MLflow, and AWS SageMaker.
• Detailed tutorials on building RAG applications with various LLM frameworks and vector databases (Cassandra, Astra DB).
• Includes foundational ML/DL/NLP concepts taught in condensed formats (e.g., "Statistics in 6 hours").

Maintenance & Community

The repository is maintained by krishnaik06. No specific community links or detailed contributor information are provided in the README.

Licensing & Compatibility

The licensing of the linked video content and project repositories is not specified within this README. Users should verify the licenses of individual linked resources.

Limitations & Caveats

This repository is purely an index of external resources; it does not host any code or provide direct learning materials. The quality and up-to-dateness of the linked content are dependent on the original creators.