experiment-ml-docker-py
experimenting with ML (scikit etc) & python & docker for python
- temperature - classification - uses a simple temperature range example (ml & plain old py (popy))
- algebraeic - regression - uses a simple algebraeic function (ml & popy)
- edge impulse - dataset for training only, see website & pi & engr log
- neuralnet - v simple using numpy & matplotlib
- Docker-py - set up to use Docker to run apps
Usage Notes
Note I do not use python environments because I use mostly containers so apps are encapsulated anyway & envs are moot.
for python
- Install vscode (or other text editor)
- Install python
- Install scikit learn TL;DR
pip install -U scikit-learn
Note On win pro, using a vscode terminal needed-m
inpy -m pip install -U scikit-learn
& whenever I use pip - for neural net need
py -m pip install -U matplotlib
- You may also want pandas or TL;DR
pip install pandas
for docker (optional, I was playing with this for the sci & engr course in 2022)
- Install docker