* Conolidated two scripts reverse_letters.py and reverse_long_words.py into one because of similar functionality
* Added a new line to accomodate characters without going over 88 char limit
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* Python mirror_formulae.py is added to the repository
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* Moved file relu.py from maths/ to neural_network/activation_functions
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* DRAFT: GitHub Actions: Test on Python 3.12
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* #8777
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* Move and reimplement convert_number_to_words.py
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* Fix ruff errors
Renamed neural_network/input_data.py to neural_network/input_data.py_tf
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2. It was taken directly from TensorFlow's codebase and is actually
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* Input for user choose his Collatz sequence
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* Reimplement polynomial_regression.py
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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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* updating DIRECTORY.md
* Fix matrix formatting in docstrings
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* Debugging failing doctest
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* updating DIRECTORY.md
* feat: Count negative numbers in sorted matrix
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