* tanh function been added
* tanh function been added
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* tanh function is added
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* ELU activation function is added
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* elu activation is added
* ELU activation is added
* Update maths/elu_activation.py
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* Exponential_linear_unit activation is added
* Exponential_linear_unit activation is added
* SiLU activation is added
* SiLU activation is added
* mish added
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* Mish activation function is added
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* mish activation added
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* mish activation added
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* code optimized in IQR function
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* interquartile_range function is added
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* Update maths/interquartile_range.py
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* Changes on interquartile_range
* numpy removed from interquartile_range
* Fixes from code review
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* The window will now remain open after the fractal is finished being drawn, and will only close upon your click.
* Update fractals/sierpinski_triangle.py
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* Input for user choose his Collatz sequence
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* updating DIRECTORY.md
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* enhance the implementation of queue using list
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* Added file basic_orbital_capture
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* Reimplement polynomial_regression.py
Rename machine_learning/polymonial_regression.py to
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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
explanation
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---------
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* Fix insertion fail in ["*X", "*XX"] cases
Consider a word, and a copy of that word, but with the last letter repeating twice. (e.g., ["ABC", "ABCC"])
When adding the second word's last letter, it only compares the previous word's prefix—the last letter of the word already in the Radix Tree: 'C'—and the letter to be added—the last letter of the word we're currently adding: 'C'. So it wrongly passes the "Case 1" check, marks the current node as a leaf node when it already was, then returns when there's still one more letter to add.
The issue arises because `prefix` includes the letter of the node itself. (e.g., `nodes: {'C' : RadixNode()}, is_leaf: True, prefix: 'C'`) It can be easily fixed by simply adding the `is_leaf` check, asking if there are more letters to be added.
- Test Case: `"A AA AAA AAAA"`
- Fixed correct output:
```
Words: ['A', 'AA', 'AAA', 'AAAA']
Tree:
- A (leaf)
-- A (leaf)
--- A (leaf)
---- A (leaf)
```
- Current incorrect output:
```
Words: ['A', 'AA', 'AAA', 'AAAA']
Tree:
- A (leaf)
-- AA (leaf)
--- A (leaf)
```
*N.B.* This passed test cases for [Croatian Open Competition in Informatics 2012/2013 Contest #3 Task 5 HERKABE](https://hsin.hr/coci/archive/2012_2013/)
* Add a doctest for previous fix
* improve doctest readability
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---------
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* chore: Fix failing tests (ignore S307 "possibly insecure function")
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* updating DIRECTORY.md
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* Added minimum waiting time problem solution using greedy algorithm
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* ruff --fix
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* Added recursive algo to calculate product sum from an array
* Added recursive algo to calculate product sum from an array
* Update doc string
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* Added more test coverage for product_sum method
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* Update .pre-commit-config.yaml
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* Added apr_interest function to financial
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* Update financial/interest.py
* float
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* fix issue #8715
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* updating DIRECTORY.md
* feat: Count negative numbers in sorted matrix
* updating DIRECTORY.md
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* chore: Fix problems with algorithms-keeper bot
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* test: Remove doctest from benchmark function
* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* Update matrix/count_negative_numbers_in_sorted_matrix.py
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* refactor: Use sum instead of large iteration
* refactor: Use len not sum
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