This repository is for work submitted in Spring 2019 for the Machine Learning (7641) class offered by GATech via Udacity.
This project was built with Python 3.7.0.
The environment may be installed as such:
virtualenv .venv --python ~/local/path/to/3.7.0/bin/python
echo 'export PYTHONPATH="../:."' >> ./.venv/bin/activate
source ./.venv/bin/activate
python -m pip install --requirement requirements.txt
If running on a Mac, also run:
sed -i -e 's/: macosx/: TkAgg/g' ./.venv/lib/python3.7/site-packages/matplotlib/mpl-data/matplotlibrc
All pip prerequisites are listed in requirements.txt. They may be installed with pip using:
pip install -r requirements.txt
The environment may be activated with:
source ./.venv/bin/activate
It may be deactivated with: deactivate
├── src
│ ├── model_train.py
│ ├── model_evaluation.py
│ ├── visualize_data.py
│ └── clf_*.py
├── data
│ ├── banana.csv
│ └── contraceptive.csv
├── plots
│ └── *
│ └── *.png
├── README.txt
└── requirements.txt
Run visualize_data.py to visualize all datasets.
Run model_train.py followed by model_evaluation.py to run and visualize
all models using all datasets.
All generated visualizations are saved under the plots directory.
A survey project exploring a number of machine learning algorithms on a couple datasets.
- Yaniv Talmor