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All Algorithms implemented in Python
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* Implementation of sequential minimal optimization algorithm * Update smo.py * Add demonstration of svm partition boundary 1:Use matplotlib show svm's partition boundary 2:Automatically download test dataset * Update smo.py * Update smo.py * Rename smo.py to sequential_minimum_optimization.py * Update doc and simplify the code. Fix filename typo error in doc. Use ternary conditional operator in predict() * Update doc. |
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.github | ||
arithmetic_analysis | ||
backtracking | ||
boolean_algebra | ||
ciphers | ||
compression | ||
conversions | ||
data_structures | ||
digital_image_processing | ||
divide_and_conquer | ||
dynamic_programming | ||
file_transfer | ||
graphs | ||
hashes | ||
linear_algebra | ||
machine_learning | ||
maths | ||
matrix | ||
networking_flow | ||
neural_network | ||
other | ||
project_euler | ||
scripts | ||
searches | ||
sorts | ||
strings | ||
traversals | ||
.gitignore | ||
.travis.yml | ||
CONTRIBUTING.md | ||
DIRECTORY.md | ||
LICENSE.md | ||
README.md | ||
requirements.txt |
The Algorithms - Python
All algorithms implemented in Python (for education)
These implementations are for learning purposes. They may be less efficient than the implementations in the Python standard library.
Owners
Anup Kumar Panwar [Gmail GitHub LinkedIn]
Chetan Kaushik [Gmail GitHub LinkedIn]
Contribution Guidelines
Read our Contribution Guidelines before you contribute.
Community Channel
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Algorithms
See our directory.