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GitHub_collection_Python/machine_learning
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Maxim Smolskiy d016fda51c
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Co-authored-by: Christian Clauss <cclauss@me.com>
2024-04-22 21:56:14 +02:00
..
forecasting
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local_weighted_learning
Fix DeprecationWarning in local_weighted_learning.py (Attempt 2) ()
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lstm
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__init__.py
Add __init__.py files in all the directories ()
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apriori_algorithm.py
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astar.py
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automatic_differentiation.py
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data_transformations.py
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decision_tree.py
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dimensionality_reduction.py
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frequent_pattern_growth.py
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gaussian_naive_bayes.py.broken.txt
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gradient_boosting_classifier.py
Added Gradient Boosting Classifier ()
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gradient_boosting_regressor.py.broken.txt
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gradient_descent.py
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k_means_clust.py
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k_nearest_neighbours.py
Consolidate the two existing kNN implementations ()
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linear_discriminant_analysis.py
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linear_regression.py
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logistic_regression.py
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loss_functions.py
Add smooth l1 loss algorithm ()
2024-01-30 09:18:56 +01:00
mfcc.py
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multilayer_perceptron_classifier.py
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polynomial_regression.py
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random_forest_classifier.py.broken.txt
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random_forest_regressor.py.broken.txt
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scoring_functions.py
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2020-09-30 15:23:34 +02:00
self_organizing_map.py
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sequential_minimum_optimization.py
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similarity_search.py
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support_vector_machines.py
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word_frequency_functions.py
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2022-10-13 00:54:20 +02:00
xgboost_classifier.py
pre-commit: Upgrade psf/black for stable style 2023 ()
2023-02-01 18:44:54 +05:30
xgboost_regressor.py
Remove doctest in xgboost_regressor.py main function ()
2023-10-14 15:34:05 +02:00