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followers: 3.0 following: 4.0 repos: 29.0 gists: 1.0

Name: William Green

Type: User

Location: KS

`> Hey There!, I am William Green`

Portfolio:

External projects

Omdena + Consenz project: Improving Driver Voice Assistance Using Machine Learning to Reduce Road Accidents in the role of ML Engineer and Task Leader

Results: The accomplishments of this project include defining the project pipeline, building models for filtering driver assistant voice when a driver and the assistant speak simultaneously, and developing models for music and restaurant recommendation. In addition, the team-built models for driver mood with personality classification, as well as developed a conversation agent that recognizes a wide range of intents and entities.
Omdena + SexedPL's challenge: Modeling Triggers and Symptoms of Hashimoto’s Disease in the role of ML Engineer and Task Leader

Results: The accomplishments of this project include a Streamlit Dashboard and final report.

Private projects

Articles on ML and Python

Kaggle

HuBMAP Awards: Hacking the Kidney on Kaggle

Diversity and Presentation Award

Talks

Global AI Bootcamp London 2022 hosted by Advancing Analytics

Certifications and Digital Badges

Languages, Tools, and Skills 🛠

William Green's Projects

The AI for Healthcare program includes two courses: one for 2D medical imaging, covering image extraction, AI model building, and FDA validation for chest X-ray pneumonia classification, and another for 3D imaging, addressing clinical fundamentals and AI integration into clinical workflows.

build-ml-pipeline-for-short-term-rental-prices

Project code for cd0581 refresh taught by Giacomo Vianello

census-income-classification

The purpose of this project is to deploy a scalable pipeline as would be done in a production environment.

coursera-ai-for-medicine-specialization

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

cuisine-assistant

Chef's Companion is an AI-driven culinary aide that seamlessly melds OpenAI's language understanding with Spoonacular's rich recipe database and Supabase’s data prowess to help users discover and manage recipes with ease.

deepfake_detection

deploying-machine-learning-models

Code for the online course "Deployment of Machine Learning Models"

external_projects

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

fareflightassistant

AutoGen with Amadeus flights API, Parallel Function Calls

feta_challenge_2024

The Fetal Tissue Annotation and Segmentation Challenge (FeTA) at MICCAI 2024 aims to advance multi-class image segmentation and biometric measurement prediction for fetal brain MRIs. The challenge involves developing robust methods using high-resolution, annotated MRI data of fetal brains from gestational weeks 21-36.

fraudshield

FraudShield leverages a semi-supervised learning framework to detect financial fraud. It combines supervised learning and anomaly detection to showcase effective fraud prevention in a Streamlit app, using the BAF Dataset for real-world scenario simulation.