GitHub skill discovery for Claude Code — scans repos for SKILL.md and MCP servers, security-scans every result, and surfaces ranked recommendations

Deep Learning Hands on Coding and notes from the inspiration of Jeremy Howard of Fast.AI.

LangChain RAG concierge AI for Wynn Al Marjan Island — age/gaming compliance guardrails, PII anonymization, structured JSON output for PMS integration

Portfolio of Indhra

12-week intensive to become a 100x AI engineer — LLMOps, RAG, agents, MCP, and MLOps built around an EV fleet AI platform

RAG pipeline over Apple 2024 and Tesla 2023 SEC 10-K filings — hybrid BM25+FAISS search, cross-encoder reranking, Groq Llama 3.1, answers with citations

Core ML topics: short summaries , code snippets, Interview prep

Regression ML problem. dealing categorical and numerical input features

hands on using ollama and no api keys to play around with the agents

Microsoft Azure cloud topics, data factory, ADLS

Personal ML learning journal — theory, hands-on notebooks, and notes across stats, probability, PyTorch, TF, Keras, PySpark, and MLOps

Optimized Mathematical solutions using Python

Hands on Loan approval using ML models

basics of hypothesis testing

Using Computer Vision recognize the numbers based on the MNISt dataset

1.Numpy tutorial

Using deep learning and frameworks like tensorflow and openCV to start with

Based on the measured chemical properties of wine from south of France use Data Science and ML to predict the wine quality

using fast ai and pytorch learnings from Jeremy's textbook

From Scrath to advanced LLMs all at one place both learnings and hands on

Topic wise jupyter notebooks to go through the concept along with its required data