* Reimplement polynomial_regression.py
Rename machine_learning/polymonial_regression.py to
machine_learning/polynomial_regression.py
Reimplement machine_learning/polynomial_regression.py using numpy
because the old original implementation was just a how-to on doing
polynomial regression using sklearn
Add detailed function documentation, doctests, and algorithm
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* Fix matrix formatting in docstrings
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* Solving the `Top k most frequent words` problem using a max-heap
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* pre-commit: Upgrade psf/black for stable style 2023
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* updating DIRECTORY.md
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* Rename gradient_boosting_regressor.py to gradient_boosting_regressor.py.broken.txt
* Rename random_forest_classifier.py to random_forest_classifier.py.broken.txt
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* Rename equal_loudness_filter.py to equal_loudness_filter.py.broken.txt
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* refactor: Move pascals triange to maths/
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* Update gaussian_naive_bayes.py
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* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
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* initial commit
* first implementation of hard margin
* remove debugging print
* many commits squashed because pre-commit was buggy
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* The black formatter is no longer beta
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