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* Update gaussian_naive_bayes.py
Just adding in a final metric of accuracy to declare...
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* ci: Add ``flake8-pep3101`` plugin to ``pre-commit``
* refactor: Remove all modulo string formatting
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* added self organising maps algo
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* initial commit
* first implementation of hard margin
* remove debugging print
* many commits squashed because pre-commit was buggy
* more kernels and improved kernel management
* remove unnecessary code + fix names + formatting + doctests
* rename to fit initial naming
* better naming and documentation
* better naming and documentation
* MAINT: Used f-string method
Updated the code with f-string methods wherever required for a better and cleaner understanding of the code.
* Updated files with f-string method
* Update rsa_key_generator.py
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* Update elgamal_key_generator.py
* Update lru_cache.py
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* The black formatter is no longer beta
* pre-commit autoupdate
* pre-commit autoupdate
* Remove project_euler/problem_145 which is killing our CI tests
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* Updated name from lstm_prediction.py_lf to lstm_prediction.py and also imported keras
* Edited the changes
* tensorflow 2.5 is has shipped!!!
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* One blank line, not two?
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* Add initial support for moving tests to GitHub
* Add setup Python step in the workflow
* Remove Travis CI config file
* Fix GitHub action file for build to trigger on PR
* Use Python 3.8 as tensorflow is not yet supported
* Fix ciphers.hill_cipher doctest error
* Fix: instagram crawler tests failing on GitHub actions
* Fix floating point errors in doctest
* Small change to test cache
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* add forecasting code
* add statsmodel
* sort import
* sort import fix
* fixing black
* sort requirement
* optimize code
* try with limited data
* sort again
* sort fix
* sort fix
* delete warning and black
* add code for forecasting
* use black
* add more hints to describe
* add doctest
* finding whitespace
* fixing doctest
* delete
* revert back
* revert back
* revert back again
* revert back again
* revert back again
* try trimming whitespace
* try adding doctypeand etc
* fixing reviews
* deleting all the space
* fixing the build
* delete x
* add description for safety checker
* deleting subscription integer
* fix docthint
* make def to use function parameters and return values
* make def to use function parameters and return values
* type hints on data safety checker
* optimize code
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* Add GitHub action file for pre-commit
* Fix errors exposed by pre-commit hook:
- Remove executable bit from files without shebang. I checked those
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- Fix with black
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* Fix all errors mentioned in pre-commit run:
- Fix end of file
- Remove trailing whitespace
- Fix files with black
- Fix imports with isort
* Fix errors
* Update scoring_functions.py
We can find accuracy by manually if we are not going to use sklearn library.
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* Added Standardization and Normalization algorithms with built-in stats
* Implement ndigits for rounding
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