A knowledge base bridging theorical with real-world applications.

📄 Query Google NotebookLM notebooks using Claude Code for accurate, citation-backed answers based on your documents.

Demos and sample code on ML for engineers

Amazon USA Financial Data : Insights across all states, focusing on R&D, marketing, campaigns, and profit. Features log normalization to stabilize skewed data and aligns with Gaussian distribution for better analysis. Free Excel sheet available for practice.

The Code-Sleuth's Notebook

Runs command-line pipelines embedded in Markdown and CommonMark documents. Keeps your authored docs up to date. Even usable as an alternative to IPython notebooks.

This GitHub repository offers a dual-faceted resource for Python enthusiasts. It features 'practice_python' Jupyter notebooks for interactive learning, spanning basics to advanced topics, and a Flask project that illustrates real-world Python use, including user management and location tracking.

🛠️ Simplify LLM evaluation with our Colab notebook; just name your model, choose a benchmark, and run for automated insights.

<underDevelopment> a machine learning coastal analysis that organizes satellite data, handles preprocessing, trains models, and visualizes results. Features year-based folders, structured Jupyter notebooks, and organized output management to ensure reproducible research

ByteCore Byte is a simplified version of the ByteCore CPU showcased in a Jupyter notebook, using 1-byte addressing to operate within a 256-byte memory limit. This repository features demonstrations of ByteCore Assembly through both basic and advanced programming examples.