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THE WORK BEHIND THE LEARNING

Ideas explored.
Things built.

I’m Chelsea. My work brings together technical curiosity and creative production. This page collects selected projects, their context, and the practical lessons behind them.

Areas of practice

AI & computer vision

Working with data, experimenting with models, and explaining the process.

Software & web

Building interfaces and useful tools, with attention to the people using them.

Animation & creative production

Exploring motion, cinematic storytelling, and the tools behind visual work.

SELECTED WORK

Projects and experiments

Computer vision / archive

Image classification experiments

Early image classification work with TensorFlow and Keras, with notebooks and a write-up about overfitting.

My role
Model experimentation and technical writing
Tools
Python, TensorFlow, Keras
Outcome
An archived notebook and tutorial documenting the learning process.
Read the archived tutorial ↗

EARLIER LEARNING

Certificate archive

Certificates from earlier coursework. Project evidence and practical work provide additional context for these learning milestones.

Machine Learning — Stanford University / Coursera

View the certificate on Coursera ↗

Chelsea’s Machine Learning course certificate
Basic Image Classification with TensorFlow

View the certificate on Coursera ↗

Basic Image Classification with TensorFlow certificate
TensorFlow for AI, Machine Learning & Deep Learning

View the certificate on Coursera ↗

TensorFlow introductory course certificate