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All Algorithms implemented in Python
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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 polynomial regression using sklearn Add detailed function documentation, doctests, and algorithm explanation * updating DIRECTORY.md * Fix matrix formatting in docstrings * Try to fix failing doctest * Debugging failing doctest * Fix failing doctest attempt 2 * Remove unnecessary return value descriptions in docstrings * Readd placeholder doctest for main function * Fix typo in algorithm description --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> |
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.devcontainer | ||
.github | ||
.vscode | ||
arithmetic_analysis | ||
audio_filters | ||
backtracking | ||
bit_manipulation | ||
blockchain | ||
boolean_algebra | ||
cellular_automata | ||
ciphers | ||
compression | ||
computer_vision | ||
conversions | ||
data_structures | ||
digital_image_processing | ||
divide_and_conquer | ||
dynamic_programming | ||
electronics | ||
file_transfer | ||
financial | ||
fractals | ||
fuzzy_logic | ||
genetic_algorithm | ||
geodesy | ||
graphics | ||
graphs | ||
greedy_methods | ||
hashes | ||
knapsack | ||
linear_algebra | ||
linear_programming | ||
machine_learning | ||
maths | ||
matrix | ||
networking_flow | ||
neural_network | ||
other | ||
physics | ||
project_euler | ||
quantum | ||
scheduling | ||
scripts | ||
searches | ||
sorts | ||
strings | ||
web_programming | ||
.gitattributes | ||
.gitignore | ||
.gitpod.yml | ||
.pre-commit-config.yaml | ||
CONTRIBUTING.md | ||
DIRECTORY.md | ||
LICENSE.md | ||
pyproject.toml | ||
README.md | ||
requirements.txt |
Implementations are for learning purposes only. They may be less efficient than the implementations in the Python standard library. Use them at your discretion.
Getting Started
Read through our Contribution Guidelines before you contribute.
Community Channels
We are on Discord and Gitter! Community channels are a great way for you to ask questions and get help. Please join us!
List of Algorithms
See our directory for easier navigation and a better overview of the project.