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merged 2 commits into from
Dec 19, 2022
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[pre-commit.ci] pre-commit autoupdate #8037

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[pre-commit.ci] pre-commit autoupdate
pre-commit-ci[bot] Dec 19, 2022
4cb5ed3
updating DIRECTORY.md
Dec 19, 2022
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4 changes: 2 additions & 2 deletions .pre-commit-config.yaml
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Expand Up @@ -10,7 +10,7 @@ repos:
- id: requirements-txt-fixer

- repo: https://github.com/MarcoGorelli/auto-walrus
rev: v0.2.1
rev: v0.2.2
hooks:
- id: auto-walrus

Expand All @@ -20,7 +20,7 @@ repos:
- id: black

- repo: https://github.com/PyCQA/isort
rev: 5.10.1
rev: v5.11.3
hooks:
- id: isort
args:
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6 changes: 1 addition & 5 deletions DIRECTORY.md
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Expand Up @@ -14,7 +14,6 @@

## Audio Filters
* [Butterworth Filter](audio_filters/butterworth_filter.py)
* [Equal Loudness Filter](audio_filters/equal_loudness_filter.py)
* [Iir Filter](audio_filters/iir_filter.py)
* [Show Response](audio_filters/show_response.py)

Expand Down Expand Up @@ -79,6 +78,7 @@
* [A1Z26](ciphers/a1z26.py)
* [Affine Cipher](ciphers/affine_cipher.py)
* [Atbash](ciphers/atbash.py)
* [Autokey](ciphers/autokey.py)
* [Baconian Cipher](ciphers/baconian_cipher.py)
* [Base16](ciphers/base16.py)
* [Base32](ciphers/base32.py)
Expand Down Expand Up @@ -475,8 +475,6 @@
* [Decision Tree](machine_learning/decision_tree.py)
* Forecasting
* [Run](machine_learning/forecasting/run.py)
* [Gaussian Naive Bayes](machine_learning/gaussian_naive_bayes.py)
* [Gradient Boosting Regressor](machine_learning/gradient_boosting_regressor.py)
* [Gradient Descent](machine_learning/gradient_descent.py)
* [K Means Clust](machine_learning/k_means_clust.py)
* [K Nearest Neighbours](machine_learning/k_nearest_neighbours.py)
Expand All @@ -490,8 +488,6 @@
* [Lstm Prediction](machine_learning/lstm/lstm_prediction.py)
* [Multilayer Perceptron Classifier](machine_learning/multilayer_perceptron_classifier.py)
* [Polymonial Regression](machine_learning/polymonial_regression.py)
* [Random Forest Classifier](machine_learning/random_forest_classifier.py)
* [Random Forest Regressor](machine_learning/random_forest_regressor.py)
* [Scoring Functions](machine_learning/scoring_functions.py)
* [Self Organizing Map](machine_learning/self_organizing_map.py)
* [Sequential Minimum Optimization](machine_learning/sequential_minimum_optimization.py)
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