This repository contains Machine Learning related demos, for educational purposes, written in Python and presented as notebook files (.ipynb). These files can be run either in Jupyter (Lab/Notebook) or online by uploading to Google Colab.
- Download all the repo and place it in one directory.
- If you already have all necessary Python packages set up, you may skip this step. Otherwise:
- Read
python_setup.md - If you choose to use Google Colab, simply "Upload Notebook" whichever .ipynb file to run online on Colab.
- Read
- Open Jupyter Lab/Notebook in the same directory to access the notebooks of each folder.
- In each folder (topic per folder)
- A notebook (.ipynb) which can be viewed directly online, run in Jupyter Lab/Notebook or Google Colab.
- Supplementary files used by the notebook (e.g. .csv time-series, or .py modules)
python_setup.md- Details the one-time setup of Python & Jupyter, virtual environments, and package installations
- Ensure that all packages are installed before running the notebooks in the folders
requirements.txt- A supplementary file used in the procedures described in
python_setup.md - Lists most of the Python packages needed
- A supplementary file used in the procedures described in