This is a repository for my course at SMU, CS5/7324, previously named machine learning in python. It should be accessible for anyone with coding experience in Python and some machine learning knowledge. Feel free to use any and all code for any purpose.
The environment should be setup using the following installs for python 3.12 (latest tested version with all code in repository). Different installation instructions are given depending on if you are installing for (1) MacOS (using Apple Silicon) or (2) another OS, as shown below:
For operating systems that do NOT use Apple Silicon, you can use the following commands:
conda create --name mlenv3_12 python=3.12
conda activate mlenv3_12
pip install jupyter numpy scipy pandas matplotlib scikit-learn plotly missingno
pip install protobuf tensorflow-datasets importlib-resources
pip install torch torchvision transformers
Note: Apple M-series Macs should use a different install procedure as follows:
conda create --name mlenv3_12 python=3.12
conda activate mlenv3_12
python -m pip install tensorflow-macos
python -m pip install tensorflow-metal
pip install jupyter pandas matplotlib scikit-learn plotly missingno
pip install "numpy<2.0" "scipy<=1.13.1"
pip install protobuf tensorflow-datasets importlib-resources
pip install torch torchvision transformers