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This repository is Ming Jin's workshop floor for ECE 4424 / CS 4824: Machine Learning. The notebooks favor experiments, visual explanations, and real systems over long stretches of passive theory. Curiosity is required; advanced mathematics is not.

[!TIP] Looking for the polished course experience? Visit the course site. Looking to tinker? Pick a notebook below and make something behave strangely.

Course map

Build something that bites back

Three projects, three ways to make a model reveal what it is doing.

Enter the lab

git clone https://github.com/jinming99/learn-ml-by-building.git
cd learn-ml-by-building

python3 -m venv ml_lectures_env
source ml_lectures_env/bin/activate
python -m pip install --upgrade pip
python -m pip install -r requirements.txt

jupyter notebook

For platform-specific help, begin with the environment setup guide. Basic Python, high-school mathematics, and a willingness to poke at models are enough to start.

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_{These materials were directed, reviewed, and validated by the instructor. AI-assisted tools were used during development to model transparent, modern technical practice. Released under the MIT License.}