Practice repo for Generative AI projects, experiments, and hands-on learning with modern GenAI techniques.

A structured AI/ML learning roadmap with GenAI experiments, prompt engineering, and real-world best practices for building production-ready machine learning projects. 🚀

A personal Generative AI learning lab exploring LLMs and modern GenAI systems using OpenAI, Hugging Face, Ollama, Groq, and Anthropic. The repository covers core concepts, prompt engineering, LangChain workflows, RAG pipelines, and hands-on experiments, documenting a structured journey from fundamentals to practical LLM-powered applications.

Comprehensive AI/ML and GenAI learning repository with hands-on projects, experiments, and best practices for data engineers and AI enthusiasts

This repository is my daily **AI/ML practice space**. It contains experiments, demos, and hands-on labs as I study machine learning, data strategy, and GenAI systems.

This repository includes my Generative AI lab assignment work, covering prompt engineering, AI-generated content experiments, and basic GenAI implementations as part of college lab practice.

This repository includes my Generative AI lab assignment work, covering prompt engineering, AI-generated content experiments, and basic GenAI implementations as part of college lab practice

My GenAI journey—experiments with a variety of LLMs and integration approaches. Includes demos, notes, and prototypes covering prompt engineering, RAG (embeddings/vector search), tool/function calling, agents, evaluation, and framework-specific nuances and best practices.

Hands-on practice and production-grade experiments in Generative AI using JavaScript & TypeScript. This repository documents my journey of building AI agents, LLM-powered workflows, and backend-integrated GenAI systems using modern JS/TS stacks.

End-to-end AI and Data Science learning repository documenting my journey from Python basics to advanced machine learning. Contains structured practice, experiments, and projects using NumPy, Pandas, Scikit-learn,other libraries,GenAI,llm and deep learning concepts

This repository contains my daily progress for the "Data Science and Analytics with GenAI" course. It includes notes, practice code, mini-projects, and experiments related to data science, machine learning, and generative AI. The goal is to consistently learn, build, and track my journey in this field.