Lists (3)
Starred repositories
A Continuous Threat Modeling methodology
A narrative visualization project showcasing TESS's mission exoplanets discoveries and compare Earth-like characteristics.
Early prediction of sepsis with gradient boosting (XGBoost) and deep learning (LSTM and GRU) using MIMIC-III data.
Hospital readmissions prediction models
Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behav…
In this project, I performed time series forecasting using LightGBM to predict sales for 50 items across 10 different stores in a 3-month period. By doing this, the company will be able to strategi…
A data analytics project using Python, Excel, and machine learning to forecast retail demand and optimize inventory levels. Includes scalable ETL pipelines, advanced forecasting models, and interac…
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
A focused exploratory data analysis pipeline that ingests two student datasets, cleans and merges them, inspects score distributions by demographic groups, visualises performance, and performs non-…
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A GitHub Action invoking the Gemini CLI.
An open-source AI agent that brings the power of Gemini directly into your terminal.
A complete computer science study plan to become a software engineer.
Curated coding interview preparation materials for busy software engineers
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
18 Lessons to Get Started Building AI Agents
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Learn how to develop, deploy and iterate on production-grade ML applications.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.