Hi, I'm Vipin. I'm passionate about data science and machine learning. I have experience in analyzing data, building models, and solving real-world problems. I aim to use data to create practical solutions and keep learning in the fields of Data Science, Machine Learning, and NLP.
A curated list of the top 12 GitHub repositories like awesome-llm that come with open-source projects to help you master LLMs.
Understand the convex and concave function concepts essential for optimizing machine learning models and minimizing errors.
Explore the different types of Python slicing operations and learn how to use them effectively to slice Lists, Strings, Arrays, and more.
Learn about Bulbul-V2's role in making AI accessible for all. Find out how it enhances digital content in Indian languages.
Learn to build RAG systems and AI agents with Qwen's latest model - Qwen3. Explore the key features and applications of Qwen3.
Explore the best Python web frameworks for developers can use in 2025, and compare them based on their speed, reliability, features, and more
Learn how to use Cleanlab for efficient data preprocessing in machine learning by detecting & fixing label issues, outliers & noisy samples.
Learn to build task-specific AI agents using Meta AI's Llama 4 and AutoGen. Explore the applications of Llama 4 AutoGen integration.
Learn about the capabilities of Firebase Studio by Google and how it empowers developers with tools for testing and real-time databases.
Find out how to choose the right approach for building your LLMs - from prompt engineering and fine-tuning to AI agents and RAG systems.
