pyBegin / projects / ml-notebooks-beginners
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ML Notebooks for Beginners

A collection of beginner-friendly machine learning / mathematics notes. notebooks/maths/algebra.py contains notes on algebra concepts for ML (funct…

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View source folder on GitHub →contributed by@ibra-kdbra

ML Notebooks for Beginners

A collection of beginner-friendly machine learning / mathematics notes. notebooks/maths/algebra.py contains notes on algebra concepts for ML (functions, plotting, etc.) stored in Jupyter-notebook JSON form.

Example

  1. Open notebooks/maths/algebra.py in Jupyter (jupyter notebook notebooks/maths/algebra.py).
  2. The notebook loads with cells covering algebra concepts used in machine learning (functions, plotting).
  3. Run cells sequentially; matplotlib plots (e.g. linear and quadratic function graphs) are rendered inline.
  4. Modify the example values in a cell and re-run to experiment with the concepts.

How to run on localhost

The file is a Jupyter notebook saved with a .py extension. Open it with Jupyter:

pip install jupyter matplotlib numpy
jupyter notebook notebooks/maths/algebra.py

Dependencies