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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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* Add type hints to k_nearest_neighbours.py
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* Move and reimplement convert_number_to_words.py
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- Reimplement the algorithm from scratch because the logic was very
opaque and too heavily nested
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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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* Added file basic_orbital_capture
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* 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
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* Fix matrix formatting in docstrings
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* updating DIRECTORY.md
* feat: Count negative numbers in sorted matrix
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